1
|
Wang Y, Wang F, He R, Wang Y, Liu Y, Jin X. Short-term effects of ambient nitrogen dioxide on medical emergency calls for epileptic seizures: A time-series study. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2024:10.1007/s00484-024-02736-z. [PMID: 39073612 DOI: 10.1007/s00484-024-02736-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/03/2023] [Revised: 06/25/2024] [Accepted: 07/10/2024] [Indexed: 07/30/2024]
Abstract
Short-term exposure to air pollution has previously been studied in relation to certain neurological disorders, but there is still a lack of convincing data linking air pollution to epileptic seizures. The study's goal was to investigate how exposure to ambient nitrogen dioxide (NO2) affected the number of patients seeking assistance at the Wuhan Emergency Medical Center due to epileptic seizures. We gathered data on medical emergency calls (MECs), daily ambient air pollution concentrations (SO2, NO2, PM2.5, PM10, CO, and O3), and meteorological variables in Wuhan, China, spanning from January 1, 2017, to November 30, 2019. To investigate the potential influence of ambient nitrogen dioxide on MECs for epileptic seizures, we carried out a time-series investigation using the general additive model (GAM). Additionally, analyses stratified by season, age, and gender were performed. A total of 8989 records of MECs for epileptic seizures were enrolled in our study during the period. Statistical analysis indicates that a rise of 10 μg/m3 in NO2 concentration is linked to a 0.17% increase in daily MECs for epileptic seizures (95% confidence interval [CI]: 0.02%, 0.32%). Furthermore, people aged 14-59 years were more susceptible(2.25%, P < 0.05). The short-term effects of NO2 exposure on daily MECs for epileptic seizures were stronger in warm seasons than in cool seasons (0.55% vs. -0.10%, P < 0.0001). Our findings suggests that short-term exposure to ambient NO2 was positively correlated with daily MECs for epileptic seizures in Wuhan, China. Additionally, we observed that these associations were stronger in patients aged above 14 but under 60 years and the warmer seasons (from April to September).
Collapse
Affiliation(s)
- Yijie Wang
- Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
| | - Fei Wang
- WuHan Emergency Centre, 288 Machang Road, Wuhan, 430022, Hubei, China
| | - Rong He
- Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
- The Second Clinical School of Wuhan University, Wuhan, 430071, Hubei, China
| | - Yiming Wang
- The Second Clinical School of Wuhan University, Wuhan, 430071, Hubei, China
| | - Yumin Liu
- Department of Neurology, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
| | - Xiaoqing Jin
- Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
| |
Collapse
|
2
|
Jiang W, Chen H, Li H, Zhou Y, Xie M, Zhou C, Yang L. The Short-Term Effects and Burden of Ambient Air Pollution on Hospitalization for Type 2 Diabetes: Time-Stratified Case-Crossover Evidence From Sichuan, China. GEOHEALTH 2023; 7:e2023GH000846. [PMID: 38023385 PMCID: PMC10680437 DOI: 10.1029/2023gh000846] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 10/22/2023] [Accepted: 11/02/2023] [Indexed: 12/01/2023]
Abstract
Type 2 diabetes mellitus (T2DM), a complicated metabolic disease, might be developed or exacerbated by air pollution, resulting in economic and health burden to patients. So far, limited studies have estimated associations between short-term exposure to air pollution and disease burden of T2DM in China. Hence, we aimed to estimate the associations and burden of ambient air pollutants (NO2, PM10, PM2.5, SO2, and CO) on hospital admissions (HAs) for T2DM using a time-stratified case-crossover design. Data on HAs for T2DM during 2017-2019 were collected from hospital electronic health records in nine cities in Sichuan Province using conditional poisson regression. Totally, 92,381 T2DM hospitalizations were recorded. There were significant short-term effects of NO2, PM10, PM2.5, SO2 and CO on HAs for T2DM. A 10 μg/m3 increment of NO2, PM10, PM2.5, SO2 and CO as linked with a 3.39% (95% CI: 2.26%, 4.54%), 0.33% (95% CI: 0.04%, 0.62%), 0.76% (95% CI: 0.35%, 1.16%), 12.68% (95% CI: 8.14%, 17.42%) and 79.00% (95% CI: 39.81%, 129.18%) increase in HAs for T2DM at lag 6. Stratified analyses modified by age, sex, and season showed old (≥65 years) and female patients linked with higher impacts. Using WHO's air quality guidelines of NO2, PM10, PM2.5, and CO as the reference, the attributable number of T2DM HAs exceeding these pollutants exposures were 786, 323, 793, and 2,127 during 2017-2019. Besides, the total medical costs of 25.83, 10.54, 30.74, and 67.78 million China Yuan were attributed to NO2, PM10, PM2.5, and CO. In conclusion, short-term exposures to air pollutants were associated with higher risks of HAs for T2DM.
Collapse
Affiliation(s)
- Wanyanhan Jiang
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Han Chen
- Sichuan Wanhao Consulting Co., LtdChengduSichuanChina
| | - Hongwei Li
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Yuelin Zhou
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Mengxue Xie
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| | - Chengchao Zhou
- Centre for Health Management and Policy ResearchSchool of Public HealthCollege of MedicineShandong UniversityJinanChina
| | - Lian Yang
- School of Public HealthChengdu University of Traditional Chinese MedicineChengduSichuanChina
| |
Collapse
|
3
|
Zhang W, Zhang R, Ling J, Tian T, Liu T, Dong J, Ruan Y. Time Series Analysis of the Acute Effect of Atmospheric Fine Particulate Matter on Hospitalization for Heart Failure in Lanzhou, China. J Occup Environ Med 2023; 65:711-716. [PMID: 37167930 DOI: 10.1097/jom.0000000000002878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/13/2023]
Abstract
OBJECTIVE The purpose of this study was to investigate the correlation between environmental PM 2.5 and heart failure (HF) hospitalization in Lanzhou, China. METHOD The correlation between atmospheric PM 2.5 and HF hospitalization was evaluated using a distributed lag nonlinear model. RESULT During the study period, 16,122 HF patients were hospitalized. The average concentration of PM 2.5 is 45.24 μg/m 3 . PM 2.5 was positively correlated with HF hospitalization with single lag (lag0) and cumulative lag (lag01, lag02, lag03). The maximum lag effect is estimated to occur in lag03, and with the PM 2.5 concentration increasing by 10 μg/m 3 , HF hospitalization risk increased by 1.023 (95% confidence interval, 1.006-1.039). The risk of hospitalization for HF in the male group, the age group 65 years or older, and the cold season was statistically significant and more positively correlated. CONCLUSION PM 2.5 exposure increases the risk of HF admission in Lanzhou.
Collapse
Affiliation(s)
- Wancheng Zhang
- From the School of Public Health, Lanzhou University, Lanzhou, PR China
| | | | | | | | | | | | | |
Collapse
|
4
|
Ward-Caviness CK, Cascio WE. A Narrative Review on the Impact of Air Pollution on Heart Failure Risk and Exacerbation. Can J Cardiol 2023; 39:1244-1252. [PMID: 37406802 DOI: 10.1016/j.cjca.2023.06.423] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2023] [Revised: 06/05/2023] [Accepted: 06/21/2023] [Indexed: 07/07/2023] Open
Abstract
Air pollution is a risk factor for many cardiovascular diseases, including heart failure (HF). Although the links between air pollution and HF have been explored, the results are scattered and difficult to piece together into a cohesive story. Therefore, we undertook a narrative review of all aspects of the relationship between HF and air pollution exposure, including risks of developing HF when exposed to air pollution, the exacerbation of HF symptoms by air pollution exposure, and the increased susceptibility that individuals with HF have for air pollution-related health risks. We also examined the literature on environmental justice as well as air pollution interventions for HF. We found substantial evidence linking air pollution exposure to HF incidence. There were a limited number of studies that examined air pollution exposure in clearly defined populations with HF to explore exacerbation of HF or the susceptibility of individuals with HF to air pollution health risks. However, there is substantial evidence that HF-related hospitalisations are increased under air pollution exposure and that the air pollution associated increase in HF-related hospitalisations is greater than hospitalisations for other chronic diseases, supporting links between air pollution and both exacerbation of HF and susceptibility of individuals with HF. There is emerging evidence for interventions that can decrease air pollution health risks for individuals with HF, and more studies are needed, particularly randomised controlled trials. Thus, although the air pollution-related health risks for HF incidence and hospitalisations are clear, further studies specifically targeted at identified data gaps will greatly improve our knowledge of the susceptibility of individuals with HF and interventions to reduce risks.
Collapse
Affiliation(s)
- Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, North Carolina, USA.
| | - Wayne E Cascio
- Center for Public Health and Environmental Assessment, US Environmental Protection Agency, Chapel Hill, North Carolina, USA
| |
Collapse
|
5
|
Wang Q, Wang Z, Chen M, Mu W, Xu Z, Xue M. Causality of particulate matter on cardiovascular diseases and cardiovascular biomarkers. Front Public Health 2023; 11:1201479. [PMID: 37732088 PMCID: PMC10507646 DOI: 10.3389/fpubh.2023.1201479] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2023] [Accepted: 07/31/2023] [Indexed: 09/22/2023] Open
Abstract
Background Previous observational studies have shown that the prevalence of cardiovascular diseases (CVDs) is related to particulate matter (PM). However, given the methodological limitations of conventional observational research, it is difficult to identify causality conclusively. To explore the causality of PM on CVDs and cardiovascular biomarkers, we conducted a Mendelian randomization (MR) analysis. Method In this study, we obtained summary-level data for CVDs and cardiovascular biomarkers including atrial fibrillation (AF), heart failure (HF), myocardial infarction (MI), ischemic stroke (IS), stroke subtypes, body mass index (BMI), lipid traits, fasting glucose, fasting insulin, and blood pressure from several large genome-wide association studies (GWASs). Then we used two-sample MR to assess the causality of PM on CVDs and cardiovascular biomarkers, 16 single nucleotide polymorphisms (SNPs) for PM2.5 and 6 SNPs for PM10 were obtained from UK Biobank participants. Inverse variance weighting (IVW) analyses under the fixed effects model were used as the main analytical method to calculate MR Estimates, followed by multiple sensitivity analyses to confirm the robustness of the results. Results Our study revealed increases in PM2.5 concentration were significantly related to a higher risk of MI (odds ratio (OR), 2.578; 95% confidence interval (CI), 1.611-4.127; p = 7.920 × 10-5). Suggestive evidence was found between PM10 concentration and HF (OR, 2.015; 95% CI, 1.082-3.753; p = 0.027) and IS (OR, 2.279; 95% CI,1.099-4.723; p = 0.027). There was no evidence for an effect of PM concentration on other CVDs. Furthermore, PM2.5 concentration increases were significantly associated with increases in triglyceride (TG) (OR, 1.426; 95% CI, 1.133-1.795; p = 2.469 × 10-3) and decreases in high-density lipoprotein cholesterol (HDL-C) (OR, 0.779; 95% CI, 0.615-0.986; p = 0.038). The PM10 concentration increases were also closely related to the decreases in HDL-C (OR, 0.563; 95% CI, 0.366-0.865; p = 8.756 × 10-3). We observed no causal effect of PM on other cardiovascular biomarkers. Conclusion At the genetic level, our study suggested the causality of PM2.5 on MI, TG, as well HDL-C, and revealed the causality of PM10 on HF, IS, and HDL-C. Our findings indicated the need for continued improvements in air pollution abatement for CVDs prevention.
Collapse
Affiliation(s)
- Qiubo Wang
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
- Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, China
| | - Zhimiao Wang
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Mingyou Chen
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Wei Mu
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Zhenxing Xu
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| | - Mei Xue
- Department of Cardiology, The First Affiliated Hospital of Shandong First Medical University and Shandong Provincial Qianfoshan Hospital, Shandong Medicine and Health Key Laboratory of Cardiac Electrophysiology and Arrhythmia, Jinan, China
| |
Collapse
|
6
|
Jia Y, Lin Z, He Z, Li C, Zhang Y, Wang J, Liu F, Li J, Huang K, Cao J, Gong X, Lu X, Chen S. Effect of Air Pollution on Heart Failure: Systematic Review and Meta-Analysis. ENVIRONMENTAL HEALTH PERSPECTIVES 2023; 131:76001. [PMID: 37399145 PMCID: PMC10317211 DOI: 10.1289/ehp11506] [Citation(s) in RCA: 12] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 02/15/2023] [Accepted: 06/06/2023] [Indexed: 07/05/2023]
Abstract
BACKGROUND Heart failure (HF) poses a significant global disease burden. The current evidence on the impact of air pollution on HF remains inconsistent. OBJECTIVES We aimed to conduct a systematic review of the literature and meta-analysis to provide a more comprehensive and multiperspective assessment of the associations between short- and long-term air pollution exposure and HF from epidemiological evidences. METHODS Three databases were searched up to 31 August 2022 for studies investigating the association between air pollutants (PM 2.5 , PM 10 , NO 2 , SO 2 , CO, O 3 ) and HF hospitalization, incidence, or mortality. A random effects model was used to derive the risk estimations. Subgroup analysis was conducted by geographical location, age of participants, outcome, study design, covered area, the methods of exposure assessment, and the length of exposure window. Sensitivity analysis and adjustment for publication bias were performed to test the robustness of the results. RESULTS Of 100 studies covering 20 countries worldwide, 81 were for short-term and 19 were for long-term exposure. Almost all air pollutants were adversely associated with the risk of HF in both short- and long-term exposure studies. For short-term exposures, we found the risk of HF increased by 1.8% [relative risk ( RR ) = 1.018 , 95% confidence interval (CI): 1.011, 1.025] and 1.6% (RR = 1.016 , 95% CI: 1.011, 1.020) per 10 - μ g / m 3 increment of PM 2.5 and PM 10 , respectively. HF was also significantly associated with NO 2 , SO 2 , and CO, but not O 3 . Positive associations were stronger when exposure was considered over the previous 2 d (lag 0-1) rather than on the day of exposure only (lag 0). For long-term exposures, there were significant associations between several air pollutants and HF with RR (95% CI) of 1.748 (1.112, 2.747) per 10 - μ g / m 3 increment in PM 2.5 , 1.212 (1.010, 1.454) per 10 - μ g / m 3 increment in PM 10 , and 1.204 (1.069, 1.356) per 10 -ppb increment in NO 2 , respectively. The adverse associations of most pollutants with HF were greater in low- and middle-income countries than in high-income countries. Sensitivity analysis demonstrated the robustness of our results. DISCUSSION Available evidence highlighted adverse associations between air pollution and HF regardless of short- and long-term exposure. Air pollution is still a prevalent public health issue globally and sustained policies and actions are called for to reduce the burden of HF. https://doi.org/10.1289/EHP11506.
Collapse
Affiliation(s)
- Yanhui Jia
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhennan Lin
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Zhi He
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Chenyang Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Youjing Zhang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jingyu Wang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Fangchao Liu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jianxin Li
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Keyong Huang
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Jie Cao
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Xinyuan Gong
- Department of Science and Education, Tianjin First Central Hospital, Tianjin, China
| | - Xiangfeng Lu
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| | - Shufeng Chen
- Key Laboratory of Cardiovascular Epidemiology, Department of Epidemiology, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College/National Center for Cardiovascular Diseases, Beijing, China
| |
Collapse
|
7
|
Wang S, Zhang Y, Li X, Zhao J, Zhang N, Guo Y, Chen J, Liu Y, Cui Z, Lyu Y, Gao J, Li C, Zhang W, Ma J. Effect of short-term exposure to ambient air pollutants on non-accidental mortality in emergency department visits: a time-series study. Front Public Health 2023; 11:1208514. [PMID: 37457252 PMCID: PMC10348907 DOI: 10.3389/fpubh.2023.1208514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2023] [Accepted: 06/05/2023] [Indexed: 07/18/2023] Open
Abstract
Objectives Exposure to air pollution has been linked to an increased risk of premature mortality. However, the acute effects of air pollution on the risk of non-accidental mortality have not been extensively researched in developing countries, and the findings thus far have been inconsistent. Therefore, this study aimed to examine the association between short-term exposure to six pollutants (PM2.5, PM10, SO2, NO2, O3, and CO) and non-accidental mortality in Beijing, China. Methods Daily data on non-accidental deaths were gathered from 1 January 2017 to 31 December 2018. Air pollution data for the same period were collected from 35 fixed-site air quality monitoring stations in Beijing. Generalized additive models (GAM) based on Poisson regression were used to investigate the association between non-accidental mortality in emergency department visits and the daily average levels of air pollutants. Results There were 8,676 non-accidental deaths recorded during 2017-2018. After sensitivity analysis, short-term exposure to air pollutants, particularly gaseous pollutants, was linked to non-accidental mortality. Specifically, for every 10 μg/m3 increase (5 μg/m3 in SO2, 0.5 mg/m3 in CO) of SO2 (lag 04), NO2 (lag 04), O3 (lag 05), and CO (lag 04), the relative risk (RR) values were 1.054 (95% CI: 1.009, 1.100), 1.038 (95% CI: 1.013, 1.063), 1.032 (95% CI: 1.011, 1.054), and 1.034 (95% CI: 1.004, 1.066), respectively. In terms of causes of death, short-term exposure to NO2, SO2, and O3 increased the risk of circulatory mortality. Further stratified analysis revealed that the stronger associations were presented in females for O3 while in males for CO. People aged 65 and over were strongly associated with ambient air pollution. Conclusions Our study showed that ambient air pollutants were associated with non-accidental mortality. Our findings suggested that efforts to control gaseous pollution should be stepped up, and vulnerable groups should be the focus of health protection education.
Collapse
Affiliation(s)
- Siting Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yongming Zhang
- Department of Pulmonary and Critical Care Medicine, Center of Respiratory Medicine, China-Japan Friendship Hospital, National Clinical Research Center for Respiratory Diseases, Beijing, China
| | - Xia Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
- Clinical Pharmacology Department, Zhejiang Hisun Pharmaceutical Co., Ltd., Taizhou, Zhejiang, China
| | - Jinhua Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Naijian Zhang
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yuming Guo
- Department of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, VIC, Australia
| | - Jiageng Chen
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yuanyuan Liu
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Zhuang Cui
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Yuanjun Lyu
- Department of Endocrinology, Tianjin Hospital, Tianjin, China
| | - Jing Gao
- Thoracic Clinical College, Tianjin Medical University, Tianjin, China
- Cardiovascular Institute, Tianjin Chest Hospital, Tianjin, China
| | - Changping Li
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| | - Wenyi Zhang
- Chinese PLA Center for Disease Control and Prevention, Beijing, China
| | - Jun Ma
- Department of Epidemiology and Biostatistics, School of Public Health, Tianjin Medical University, Tianjin, China
| |
Collapse
|
8
|
Xu H, Xu M, Jc Z, Ye F, Liu X, Liu Y, Jin X. Short-term environmental nitrogen dioxide exposure and neurology clinic visits for headaches, a time-series study in Wuhan, China. BMC Public Health 2023; 23:828. [PMID: 37147646 PMCID: PMC10161479 DOI: 10.1186/s12889-023-15770-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Accepted: 04/26/2023] [Indexed: 05/07/2023] Open
Abstract
BACKGROUND Previous studies showed the adverse impacts of air pollution on headache attacks in developed countries. However, evidence is limited to the impact of exposure to air pollutants on headache attacks. In this study, we aimed to explore the impact of nitrogen dioxide (NO2) exposure on neurology clinic visits (NCVs) for headache onsets. METHODS Records of NCVs for headaches, concentrations of ambient NO2, and meteorological variables were collected in Wuhan, China, from January 1st, 2017, to November 30th, 2019. A time-series study was conducted to investigate the short-term effects of NO2 exposure on daily NCVs for headaches. Stratified analyses were also computed according to season, age, and sex, and the exposure-response (E-R) curve was then plotted. RESULTS A total of 11,436 records of NCVs for headaches were enrolled in our study during the period. A 10-μg/m3 increase of ambient NO2 corresponded to a 3.64% elevation of daily NCVs for headaches (95%CI: 1.02%, 6.32%, P = 0.006). Moreover, females aged less than 50 years of age were more susceptible compared to males (4.10% vs. 2.97%, P = 0.007). The short-term effects of NO2 exposure on daily NCVs for headaches were stronger in cool seasons than in warm seasons (6.31% vs. 0.79%, P = 0.0009). CONCLUSION Our findings highlight that short-term exposure to ambient NO2 positively correlated with NCVs for headaches in Wuhan, China, and the adverse effects varied by season, age, and sex.
Collapse
Affiliation(s)
- Haoyue Xu
- The Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China
- The Second Clinical School of Wuhan University, Wuhan, 430071, Hubei, China
| | - Min Xu
- Department of Geriatrics, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China
| | - Zheng Jc
- The Second Clinical School of Wuhan University, Wuhan, 430071, Hubei, China
| | - Fei Ye
- Department of Neurology, Wuhan Central Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, Hubei, China
| | - Xiaozhou Liu
- Department of Neurology, Wuhan Central Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430014, Hubei, China
| | - Yumin Liu
- Department of Neurology, Zhongnan Hospital of Wuhan University, WuhanHubei, 430071, China
| | - Xiaoqing Jin
- The Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, 430071, Hubei, China.
| |
Collapse
|
9
|
Shen J, Ma Y, Zhang Y, Zhang C, Wang W, Qin P, Yang L. Temperature modifies the effects of air pollutants on respiratory diseases. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:61778-61788. [PMID: 36933135 DOI: 10.1007/s11356-023-26322-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/08/2023] [Accepted: 03/03/2023] [Indexed: 05/10/2023]
Abstract
Increasing studies have reported temperature modification effects on air pollutants-induced respiratory diseases. In the current study, daily data of respiratory emergency room visits (ERVs), meteorological factors, and concentrations of air pollutants were collected from 2013 to 2016 in Lanzhou, a northwest city in China. Daily average temperature was stratified into low (≤ 25 percentile, P25), medium (25-75 percentile, P25-P75) and high (≥ 75 percentile, P75) to explore how temperature modifies the effects of air pollutants (PM2.5, PM10, SO2, and NO2) on respiratory ERVs by using generalized additive Poisson regression model (GAM). Seasonal modification was also investigated. Results showed that (a) PM10, PM2.5, and NO2 had the strongest effects on respiratory ERVs in low temperature; (b) males and 15-and-younger were more vulnerable in low temperature while females and those older than 46 years were highly affected in high temperature; (c) PM10, PM2.5, and NO2 were mostly associated with the total and both males and females in winter, while SO2 resulted in the highest risk for the total and males in autumn and females in spring. In conclusion, this study found significant temperature modification effects and seasonal differences on the risks of respiratory ERVs due to air pollutants in Lanzhou, China.
Collapse
Affiliation(s)
- Jiahui Shen
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Caixia Zhang
- First People's Hospital of Dingxi, Dingxi, 743000, China.
| | - Wanci Wang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Pengpeng Qin
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Lijie Yang
- Qingyang Meteorological Bureau, Qingyang, 745000, China
| |
Collapse
|
10
|
Xu H, Liu Y, Wang J, Jin X. Short-term effects of ambient air pollution on emergency department visits for urolithiasis: A time-series study in Wuhan, China. Front Public Health 2023; 11:1091672. [PMID: 36794071 PMCID: PMC9922887 DOI: 10.3389/fpubh.2023.1091672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2022] [Accepted: 01/13/2023] [Indexed: 01/31/2023] Open
Abstract
Background Previous studies have explored the correlation between short-term exposure to air pollution and urinary system diseases, but lack of evidence on the correlation between air pollution and urolithiasis. Methods Daily data of emergency department visits (EDVs), concentrations of six air pollutants (SO2, NO2, PM2.5, PM10, CO, and O3) and meteorological variables were collected in Wuhan, China, from 2016 to 2018. And a time-series study was conducted to investigate short-term effects of air pollutants on urolithiasis EDVs. In addition, stratified analyses by season, age and gender were also conducted. Results A total of 7,483 urolithiasis EDVs were included during the study period. A 10-μg/m3 increase of SO2, NO2, PM2.5, CO, PM10, and O3 corresponded to 15.02% (95% confidence interval [CI]: 1.69%, 30.11%), 1.96% (95% CI: 0.19%, 3.76%), 1.09% (95% CI:-0.24%, 2.43%), 0.14% (95% CI: 0.02%, 0.26%), 0.72% (95% CI: 0.02%, 1.43%), and 1.17% (95% CI: 0.40%, 1.94%) increases in daily urolithiasis EDVs. Significant positive correlations were observed between SO2, NO2, CO, and O3 and urolithiasis EDVs. The correlations were mainly among females (especially PM2.5 and CO) and younger people (especially SO2, NO2, and PM10) but the effect of CO was more obvious in elders. Furthermore, the effects of SO2 and CO were stronger in warm seasons, while the effects of NO2 were stronger in cool seasons. Conclusion Our time-series study indicates that short-term exposure to air pollution (especially SO2, NO2, CO, and O3) was positively correlated with EDVs for urolithiasis in Wuhan, China, and the effects varied by season, age and gender.
Collapse
Affiliation(s)
- Haoyue Xu
- The Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China,The Second Clinical School, Wuhan University, Wuhan, Hubei, China
| | - Yaqi Liu
- The Second Clinical School, Wuhan University, Wuhan, Hubei, China
| | - Jianing Wang
- The Second Clinical School, Wuhan University, Wuhan, Hubei, China
| | - Xiaoqing Jin
- The Emergency Center, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, China,*Correspondence: Xiaoqing Jin ✉
| |
Collapse
|
11
|
Yang YS, Pei YH, Gu YY, Zhu JF, Yu P, Chen XH. Association between short-term exposure to ambient air pollution and heart failure: An updated systematic review and meta-analysis of more than 7 million participants. Front Public Health 2023; 10:948765. [PMID: 36755739 PMCID: PMC9900180 DOI: 10.3389/fpubh.2022.948765] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2022] [Accepted: 12/29/2022] [Indexed: 01/24/2023] Open
Abstract
Introduction Exposure to air pollution has been linked to the mortality of heart failure. In this study, we sought to update the existing systematic review and meta-analysis, published in 2013, to further assess the association between air pollution and acute decompensated heart failure, including hospitalization and heart failure mortality. Methods PubMed, Web of Science, EMBASE, and OVID databases were systematically searched till April 2022. We enrolled the studies regarding air pollution exposure and heart failure and extracted the original data to combine and obtain an overall risk estimate for each pollutant. Results We analyzed 51 studies and 7,555,442 patients. Our results indicated that heart failure hospitalization or death was associated with increases in carbon monoxide (3.46% per 1 part per million; 95% CI 1.0233-1.046, P < 0.001), sulfur dioxide (2.20% per 10 parts per billion; 95% CI 1.0106-1.0335, P < 0.001), nitrogen dioxide (2.07% per 10 parts per billion; 95% CI 1.0106-1.0335, P < 0.001), and ozone (0.95% per 10 parts per billion; 95% CI 1.0024-1.0166, P < 0.001) concentrations. Increases in particulate matter concentration were related to heart failure hospitalization or death (PM2.5 1.29% per 10 μg/m3, 95% CI 1.0093-1.0165, P < 0.001; PM10 1.30% per 10 μg/m3, 95% CI 1.0102-1.0157, P < 0.001). Conclusion The increase in the concentration of all pollutants, including gases (carbon monoxide, sulfur dioxide, nitrogen dioxide, ozone) and particulate matter [(PM2.5), (PM10)], is positively correlated with hospitalization rates and mortality of heart failure. Systematic review registration https://www.crd.york.ac.uk/PROSPERO/, identifier: CRD42021256241.
Collapse
Affiliation(s)
- Yu-shan Yang
- First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China,Department of Cardiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Ying-hao Pei
- Department of Intensive Care Unit, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, China
| | - Yuan-yuan Gu
- First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China,Department of Cardiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Jun-feng Zhu
- First Clinical Medical College, Nanjing University of Chinese Medicine, Nanjing, China,Department of Cardiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China
| | - Peng Yu
- Department of Cardiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,*Correspondence: Peng Yu ✉
| | - Xiao-hu Chen
- Department of Cardiology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China,Xiao-hu Chen ✉
| |
Collapse
|
12
|
Chen S, Xu B, Shi T, Yang Q. Short-term effect of ambient air pollution on outpatient visits for children in Guangzhou, China. Front Public Health 2023; 11:1058368. [PMID: 36741946 PMCID: PMC9895100 DOI: 10.3389/fpubh.2023.1058368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2022] [Accepted: 01/03/2023] [Indexed: 01/21/2023] Open
Abstract
This study examined the short-term relationship between ambient air pollutants and children's outpatient visits, and identified the effect of modifications by season. Daily recordings of air pollutants (CO, NO2, O3, SO2, PM10, and PM2.5) and children's outpatient visit data were collected in Guangzhou from 2015 to 2019. A generalized additive model adjusted for potential confounding was introduced to verify the association between ambient air pollution and outpatient visits for children. Subgroup analysis by season was performed to evaluate the potential effects. A total of 5,483,014 children's outpatient visits were recorded. The results showed that a 10 μg/m3 increase in CO, NO2, O3, SO2, PM10, and PM2.5 corresponded with a 0.19% (95% CI: 0.15-0.24%), 2.46% (2.00-2.92%), 0.27% (0.07-0.46%), 7.16% (4.80-9.57%), 1.16% (0.83-1.49%), and 1.35% (0.88-1.82%) increase in children's outpatient visits on the lag0 of exposure, respectively. The relationships were stronger for O3, PM10, and PM2.5 in the warm seasons, and for CO, NO2, and SO2 in the cool seasons. When adjusting for the co-pollutants, the effects of CO, NO2, and PM10 were robust. The results of this study indicate that six air pollutants might increase the risk of children's outpatient visits in Guangzhou, China, especially in the cool season.
Collapse
Affiliation(s)
- Sili Chen
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Binhe Xu
- Department of Clinical Medicine, Basic Medicine College, Zunyi Medical University, Zunyi, China
| | - Tongxing Shi
- Department of Environmental Hygiene, Guangzhou Center for Disease Control and Prevention, Guangzhou, China,Department of Environmental Health, Institute of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Qiaoyuan Yang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China,Department of Environmental Health, Institute of Public Health, Guangzhou Medical University, Guangzhou, China,*Correspondence: Qiaoyuan Yang ✉
| |
Collapse
|
13
|
Jin T, Di Q, Réquia WJ, Danesh Yazdi M, Castro E, Ma T, Wang Y, Zhang H, Shi L, Schwartz J. Associations between long-term air pollution exposure and the incidence of cardiovascular diseases among American older adults. ENVIRONMENT INTERNATIONAL 2022; 170:107594. [PMID: 36283157 PMCID: PMC9798657 DOI: 10.1016/j.envint.2022.107594] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2022] [Revised: 10/03/2022] [Accepted: 10/18/2022] [Indexed: 05/28/2023]
Abstract
BACKGROUND & AIM Numerous studies have linked air pollution with cardiovascular diseases. Fewer studies examined the associations at low concentration levels or assessed potential modifiers. Some investigations only examined hospitalizations, which can miss incident cases. This study aims to address these gaps through a nationwide cohort study of Medicare enrollees. METHODS Our study cohort comprise all Medicare enrollees (≥65 years old) continuously enrolled in the fee-for-service program and both Medicare part A and B across the contiguous U.S. from 2000 to 2016. We examined the associations of population-weighted ZIP code-level annual average PM2.5, NO2, and warm-season O3 (May-October), with the first diagnoses of atrial fibrillation (AF), congestive heart failure (CHF), and stroke. We fit multi-pollutant Cox proportional hazards models adjusted for individual demographic characteristics and area-level covariates. We further examined these associations at low pollutant concentration levels and the potential effect modifications by race/ethnicity and comorbidities (diabetes, hypertension, hyperlipidemia). RESULTS Elevated PM2.5 and NO2 levels were associated with increased incidence of AF, CHF, and stroke. For each 1 μg/m3 increase in annual PM2.5, hazard ratios (HRs) were 1.0059 (95%CI: 1.0054-1.0064), 1.0260 (95%CI: 1.0256-1.0264), and 1.0279 (95%CI: 1.0274-1.0284), respectively. For each1 ppb increase in annual NO2, HRs are 1.0057 (95%CI: 1.0056-1.0059), 1.0112 (95%CI: 1.0110-1.0113), and 1.0095 (95%CI: 1.0093-1.0096), respectively. For warm-season O3, each 1 ppb increase was associated with increased incidence of CHF (HR=1.0035, 95%CI: 1.0033-1.0037) and stroke (HR=1.0026, 95%CI: 1.0023-1.0028). Larger magnitudes of HRs were observed when restricted to pollutants levels lower than NAAQS standards. Generally higher risks were observed for Black people and diabetics. CONCLUSIONS Long-term exposure to PM2.5, NO2, and warm-season O3 were associated with increased incidence of cardiovascular diseases, even at low pollutant concentration levels. Black people and people with diabetes were found to be vulnerable populations.
Collapse
Affiliation(s)
- Tingfan Jin
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Qian Di
- Vanke School of Public Health, Tsinghua University, Beijing, China
| | - Weeberb J Réquia
- School of Public Policy and Government, Fundação Getúlio Vargas, Brasília, Distrito Federal, Brazil
| | - Mahdieh Danesh Yazdi
- Program in Public Health, Department of Family, Population, & Preventive Medicine, Stony Brook University, NY, USA
| | - Edgar Castro
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Tszshan Ma
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Yifan Wang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Haisu Zhang
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Liuhua Shi
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
| | - Joel Schwartz
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
14
|
Ma Y, Shen J, Zhang Y, Wang H, Li H, Cheng Y, Guo Y. Short-term effect of ambient ozone pollution on respiratory diseases in western China. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2022; 44:4129-4140. [PMID: 35001229 DOI: 10.1007/s10653-021-01174-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2021] [Accepted: 11/30/2021] [Indexed: 06/14/2023]
Abstract
Ambient air pollution has been regarded as an important cause of the morbidity and mortality of respiratory diseases. In the current work, a total of 469,490 respiratory emergency room (ER) visits in Lanzhou, China from Jan 1, 2013 to Dec 31, 2016 were collected. A generalized additive model (GAM) was used to investigate the association between O3 and respiratory ER visits for the different gender and age subgroups. The results showed that: (a) with per inter-quartile range (IQR) (31 µg/m3) increase in O3, the greatest relative risk (RR) of respiratory ER visits for the total was 1.014 (95% CI 1.008-1.020) at lag 4 days. Females and 16-to-45-year-olds were relatively more sensitive to O3; (b) the significant lag effects were found in single-day lag models, with the highest RR values for different groups were observed at lag 3-lag 5 days. The multi-day cumulative lag effects were stronger for the total; (c) in the multiple-pollutant models, the effects of O3 were generally increased when introducing other pollutants (PM10, PM2.5, SO2 and NO2) for adjustment. This study demonstrated that short-term exposure to O3 increased the RR of respiratory ER visits in Lanzhou, China.
Collapse
Affiliation(s)
- Yuxia Ma
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China.
| | - Jiahui Shen
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yifan Zhang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Hang Wang
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Heping Li
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yifan Cheng
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| | - Yongtao Guo
- College of Atmospheric Sciences, Key Laboratory of Semi-Arid Climate Change, Ministry of Education, Lanzhou University, Lanzhou, 730000, China
| |
Collapse
|
15
|
Wang MW, Sun L, Wen W, Wang J, Wang CY, Ni J, Jiang JJ, Feng ZH, Cheng YR. Explore the Relationship Between Short-Term Ambient Air Pollution Exposure and Daily Outpatient Visits for Metabolic Related Fatty Liver. Risk Manag Healthc Policy 2022; 15:1751-1759. [PMID: 36157290 PMCID: PMC9505349 DOI: 10.2147/rmhp.s364270] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2022] [Accepted: 08/15/2022] [Indexed: 12/03/2022] Open
Abstract
Background Many studies have shown that the pollution of fine particles in the air is related to the incidence of chronic diseases. However, research on air pollution and metabolism-associated fatty liver disease (MAFLD) is limited. Objective The purpose of this study was to explore the relationship between short-term ambient air pollution and daily outpatient visits for metabolic-related fatty liver. Methods We used a quasi-Poisson regression generalized additive model to stratify analyses by season, age, and gender. Results From January 1, 2017, to August 31, 2019, 10,562 confirmed MAFLD outpatient visits were recorded. A 10 µg/m3 increase of fine particular matter (PM10and PM2.5) and NO2 concentrations corresponding with percent change were 0.82 (95% confidence interval [CI], 0.49–1.15), 0.57 (95% CI, 0.18–0.98), and 0.86 (95% CI, 0.59–1.13) elevation in MAFLD outpatient visits. In terms of season, the impact estimates of NO2 and PM2.5% change were 3.55 (95% CI, 1.23–5.87) and 1.12 (95% CI, 0.78–1.46) in the hot season and transition season, respectively. Compared with the warm season, the impact estimates of PM10were more significant in the cool season: 2.88 (95% CI, 0.66–5.10). NO2 has the greatest effect in the transition season, whereas PM10 has the greatest highest effect in the cool and hot seasons. Compared with other pollutants, PM2.5 has the greatest impact in the age stratification, which percent change are 2.69 (95% CI, 0.77–5.61) and 2.88 (95% CI, 0.37–6.40) respectively. The impact values of PM2.5 in male and female percent change were 3.60 (95% CI, 0.63–6.57) and 1.65 (95% CI, 1.05–2.25), respectively. Conclusion This study shows that the air pollutants are related to the number of outpatient visits for MAFLD. The effects of different air pollutants on MAFLD outpatient visits were different by season, ages, and gender.
Collapse
Affiliation(s)
- Ming-Wei Wang
- Metabolic Disease Center, Affiliated Hospital of Hangzhou Normal University, Hangzhou, People's Republic of China
| | - Lixia Sun
- Zhejiang University of Water Resources and Electric Power, Hangzhou, People's Republic of China
| | - Wen Wen
- Metabolic Disease Center, Affiliated Hospital of Hangzhou Normal University, Hangzhou, People's Republic of China
| | - Jie Wang
- Hangzhou Zhenqi Technology Co., Ltd, Hangzhou, People's Republic of China
| | - Chun-Yi Wang
- Metabolic Disease Center, Affiliated Hospital of Hangzhou Normal University, Hangzhou, People's Republic of China
| | - Jie Ni
- Metabolic Disease Center, Affiliated Hospital of Hangzhou Normal University, Hangzhou, People's Republic of China
| | - Jing-Jie Jiang
- Metabolic Disease Center, Affiliated Hospital of Hangzhou Normal University, Hangzhou, People's Republic of China
| | - Zhan-Hui Feng
- Neurological Department, Affiliated Hospital of Guizhou Medical University, Guiyang, People's Republic of China
| | - Yong-Ran Cheng
- School of Public Health, Hangzhou Medical College, Hangzhou, People's Republic of China
| |
Collapse
|
16
|
Air pollution in Delhi, India: It’s status and association with respiratory diseases. PLoS One 2022; 17:e0274444. [PMID: 36126064 PMCID: PMC9488831 DOI: 10.1371/journal.pone.0274444] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 08/29/2022] [Indexed: 11/30/2022] Open
Abstract
The policymakers need research studies indicating the role of different pollutants with morbidity for polluted cities to install a strategic air quality management system. This study critically assessed the air pollution of Delhi for 2016–18 to found out the role of air pollutants in respiratory morbidity under the ICD-10, J00-J99. The critical assessment of Delhi air pollution was done using various approaches. The mean PM2.5 and PM10 concentrations during the measurement period exceeded both national and international standards by a wide margin. Time series charts indicated the interdependence of PM2.5 and PM10 and connection with hospital visits due to respiratory diseases. Violin plots showed that daily respiratory disease hospital visits increased during the winter and autumn seasons. The winter season was the worst from the city’s air pollution point of view, as revealed by frequency analyses. The single and multi-pollutant GAM models indicated that short-term exposure to PM10 and SO2 led to increased hospital visits due to respiratory diseases. Per 10 units increase in concentrations of PM10 brought the highest increase in hospital visits of 0.21% (RR: 1.00, 95% CI: 1.001, 1.002) at lag0-6 days. This study found the robust effect of SO2 persisted in Delhi from lag0 to lag4 days and lag01 to lag06 days for single and cumulative lag day effects, respectively. While every 10 μg m-3 increase of SO2 concentrations on the same day (lag0) led to 32.59% (RR: 1.33, 95% CI: 1.09, 1.61) rise of hospital visits, the cumulative concentration of lag0-1 led to 37.21% (RR: 1.37, 95% CI:1.11, 1.70) rise in hospital visits which further increased to even 83.33% (RR: 1.83, 95% CI:1.35, 2.49) rise at a lag0-6 cumulative concentration in Delhi. The role of SO2 in inducing respiratory diseases is worrying as India is now the largest anthropogenic SO2 emitter in the world.
Collapse
|
17
|
Wang R, Tian J, Li L, Liu X, Leng M, Ye Z, Li G. Relationship between diurnal temperature range and emergency ambulance dispatches due to stroke in Guangzhou, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 817:153037. [PMID: 35031377 DOI: 10.1016/j.scitotenv.2022.153037] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/19/2021] [Revised: 01/05/2022] [Accepted: 01/06/2022] [Indexed: 06/14/2023]
Abstract
BACKGROUND The evidence between diurnal temperature range (DTR) and stroke remains controversial and sparse. We aimed to assess the relationship between DTR and emergency ambulance dispatches (EADs) due to stroke, and to explore whether there were effect modifications to the relationship. METHODS A Quasi-Poisson generalized linear regression combined with a distributed lag non-linear model was used to examine the relationship between DTR and EADs for stroke between January 1st 2011 and June 30th 2018 in Guangzhou, China. We estimated the effects of the low DTR and high DTR (defined as DTR below and above 10 °C respectively) on EADs. The effects of minimum, maximum, 5th, 25th, 50th, 75th, and 95th percentiles of DTR compared with the DTR of 10 °C were also analyzed. RESULTS A total of 20,275 EADs for stroke were included for analyses, among which 17,556 EADs were used in the model further adjusted for age and sex. A quasi-U-shaped relationship between DTR and EADs over lag0-2 days was observed. For the low DTR, per 1 °C decrease in DTR was significantly associated with an increase of 2.64% (RR = 1.03, 95% CI: 1.01-1.04) for EADs, while per 1 °C increase for the high DTR was non-significantly related with an increased risk of EADs (RR = 1.01, 95% CI: 0.90-1.13). Significant effects of the 5th and 25th percentiles of DTR on EADs were found when compared with the DTR of 10 °C. No significant effect modifications by age, sex or season were found to the association between DTR and EADs. CONCLUSIONS We found a quasi-U-shaped relationship between DTR and EADs due to stroke in this study, while age, sex or season did not significantly modify the association between DTR and EADs. More high-quality evidence is needed to further explore and validate the relationship between DTR and stroke.
Collapse
Affiliation(s)
- Ruoting Wang
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Junzhang Tian
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Likang Li
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Xintong Liu
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Meifang Leng
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Zebing Ye
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology, Guangdong Second Provincial General Hospital, Guangzhou, China; Department of Health Research Methods, Evidence, and Impact, McMaster University, Hamilton, Canada.
| |
Collapse
|
18
|
Chen L, Wang X, Qian ZM, Sun L, Qin L, Wang C, Howard SW, Aaron HE, Lin H. Ambient gaseous pollutants and emergency ambulance calls for all-cause and cause-specific diseases in China: a multicity time-series study. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:28527-28537. [PMID: 34988821 DOI: 10.1007/s11356-021-18337-x] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Accepted: 12/21/2021] [Indexed: 06/14/2023]
Abstract
Much attention has been paid to the health effects of ambient particulate matter pollution; the effects of gaseous air pollutants have not been well studied. Emergency ambulance calls (EACs) may provide a better indicator of the acute health effects than the widely used health indicators, such as mortality and hospital admission. We estimated the short-term associations between gaseous air pollutants [nitrogen dioxide (NO2), sulfur dioxide (SO2), and ozone (O3)] and EACs for all-cause, cardiovascular, and respiratory diseases in seven Chinese cities from 2014 to 2019. We used generalized additive models and random-effects meta-analysis to examine the city-specific and pooled associations. Stratified analyses were conducted by age, sex, and season. A total of 1,626,017 EACs were observed for all-cause EACs, including 230,537 from cardiovascular diseases, and 96,483 from respiratory diseases. Statistically significant associations were observed between NO2 and EACs for all-cause diseases, while the effects of SO2 were positive, but not statistically significant in most models. No significant relationship was found between O3 and EACs. Specifically, each 10 μg/m3 increase in the 2-day moving average concentration of NO2 was associated with a 1.07% [95% confidence interval (CI): 0.40%, 1.76%], 0.76% (95% CI: 0.19%, 1.34%) and 0.06% (95% CI: -1.57%, 1.73%) increase in EACs due to all-cause, cardiovascular and respiratory diseases, respectively. Stratified analysis showed a larger effect of NO2 on all-cause EACs in the cold season [excess relative risk (ERR): 0.33% (95% CI: 0.05%, 0.60%) for warm season, ERR: 0.77% (95% CI: 0.31%, 1.23%) for cold season]. Our study indicates that acute exposures to NO2 might be an important trigger of the emergent occurrence of all-cause, cardiovascular and respiratory diseases, and this effect should be of particular concern in the cold season. Further policy development for controlling gaseous air pollution is warranted to reduce the emergent occurrence of cardiopulmonary diseases.
Collapse
Affiliation(s)
- Lan Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Liwen Sun
- Huairou District Center for Disease Control and Prevention, Beijing, 101400, China
| | - Lijie Qin
- Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, 450052, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Steven W Howard
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hannah E Aaron
- Department of Epidemiology and Biostatistics, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China.
| |
Collapse
|
19
|
Rahman A, Khan MHR, Luo C, Yang Z, Ke J, Jiang W. Variations in airborne pollen and spores in urban Guangzhou and their relationships with meteorological variables. Heliyon 2021; 7:e08379. [PMID: 34825088 PMCID: PMC8605060 DOI: 10.1016/j.heliyon.2021.e08379] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2020] [Revised: 12/31/2020] [Accepted: 11/10/2021] [Indexed: 11/26/2022] Open
Abstract
Airborne pollen causes various types of allergies in humans, and the extent of allergic infection is related to the presence of different types of sporo-pollen and existing meteorological conditions in a certain area. Therefore, an aeropalynological study of 72 airborne samples with a hydrofluoric acid (HF) treatment was conducted in the Haizhu district of Guangzhou, China, in 2016, to identify the temporal variations in airborne sporo-pollen and the relationship between airborne sporo-pollen concentrations and different meteorological variables in Guangzhou, China. Forty-five types of airborne pollen, seven types of airborne spores, and some undetermined sporo-pollen taxa were identified with two separate plant habitats occurring during this period (from January to December 2016): arboreal pollen (tree-based) and non-arboreal pollen (herb, shrub, aquatic, liane, etc.). Furthermore, the daily records of four key meteorological variables (temperature, precipitation, relative humidity, and wind speed) were acquired to distinguish the pollen seasons and correlated with Spearman's rho test to establish a pollen-weather data book with the seasonal variations. The two leading seasons were identified based on pollen abundance: spring and autumn. Among them, the primary dominant sporo-pollen families during the spring season were Poaceae, Pinaceae, Euphorbiaceae, Moraceae, Microlepia sp., and Polypodiaceae. Conversely, Artemisia sp., Asteraceae, Cyperaceae, Poaceae, Alnus sp., Corylus sp., Myrtaceae, and Rosaceae were the dominant pollen species during autumn. However, few pollen grains were identified in January, May-July, and December. The statistical analysis revealed that temperature had both positive and negative correlations with sporo-pollen concentrations. However, precipitation and relative humidity had a strong impact on the sporo-pollen dispersion and exhibited a negative correlation with the sporo-pollen concentrations. The wind speed had a positive but strong correlation with the sporo-pollen concentration during the study period. Some inconsistent results were found due to environmental variations, vegetation type, and climate change around the study area. This study will facilitate the identification of pollen seasons to prevent the occurrence of pollen-related allergies in the Guangzhou city area.
Collapse
Affiliation(s)
- Ananna Rahman
- Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
- Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou 510301, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Md Hafijur Rahaman Khan
- Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
- Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou 510301, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Chuanxiu Luo
- Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
- Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou 510301, China
| | - Zijie Yang
- Key Laboratory of Ocean and Marginal Sea Geology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
- Innovation Academy of South China Sea Ecology and Environmental Engineering, Chinese Academy of Sciences, Guangzhou 510301, China
- University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jinzhao Ke
- School of Geographic Sciences, South China Normal University, Guangzhou 510631, China
| | - Weiming Jiang
- School of Geographical Sciences, Guangzhou University, Guangzhou 510006, China
| |
Collapse
|
20
|
Wang X, Leng M, Liu Y, Qian ZM, Zhang J, Li Z, Sun L, Qin L, Wang C, Howard SW, Vaughn MG, Yan Y, Lin H. Different sized particles associated with all-cause and cause-specific emergency ambulance calls: A multicity time-series analysis in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 783:147060. [PMID: 34088160 DOI: 10.1016/j.scitotenv.2021.147060] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 04/06/2021] [Accepted: 04/07/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Compared with mortality and hospital admission, emergency ambulance calls (EACs) could be a more accurate outcome indicator to reflect the health effects of short-term air pollution exposure. However, such studies have been scarce, especially on a multicity scale in China. METHODS We estimated the associations of different diameter particles [i.e., inhalable particulate matter (PM10), coarse particulate matter (PMc), and fine particulate matter (PM2.5)] with EACs for all-cause, cardiovascular, and respiratory diseases in seven Chinese cities. We collected data on EACs and air pollution from 2014 to 2019. We used generalized additive models and random-effects meta-analysis to examine the city-specific and overall associations. Stratified analyses were conducted to examine the effect modifications of gender, age, and season. RESULTS Significant associations of PM10 and PM2.5 with EACs were observed, while the PMc associations were positive but not statistically significant in most analyses. Specifically, each 10 μg/m3 increase in 2-day moving average concentration of PM10 was associated with a 0.25% [95% confidence interval (CI): 0.04%, 0.47%] increase in all-cause EACs, 0.13% (95% CI: -0.01%, 0.26%) in cardiovascular EACs, and 0.35% (95% CI: 0.04%, 0.66%) in respiratory EACs. The corresponding increases in daily EACs for PM2.5 were 0.30% (95% CI, 0.03%, 0.57%), 0.13% (95% CI, -0.07%, 0.33%), and 0.46% (95% CI, 0.01%, 0.92%). Season of the year also modifies the association between particulate matter pollution and EACs. CONCLUSIONS Short-term exposure to PM10 and PM2.5 were positively associated with daily all-cause and respiratory-related EACs. The associations were stronger during warm season than cold season. Our findings suggest that the most harmful fraction of particulate matter pollution is PM2.5, which has important implications for current air quality guidelines and regulations in China.
Collapse
Affiliation(s)
- Xiaojie Wang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China
| | - Meifang Leng
- Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yixuan Liu
- Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Zhengmin Min Qian
- College for Public Health & Social Justice, Saint Louis University, USA
| | - Junguo Zhang
- Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Ziyi Li
- Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Liwen Sun
- Huairou District Center for Disease Control and Prevention, Beijing, China
| | - Lijie Qin
- Henan Provincial People's Hospital, People's Hospital of Zhengzhou University, Zhengzhou, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Steven W Howard
- College for Public Health & Social Justice, Saint Louis University, USA
| | - Michael G Vaughn
- College for Public Health & Social Justice, Saint Louis University, USA
| | - Yue Yan
- Cancer Prevention Center, Sun Yat-sen University Cancer Center, Guangzhou, China..
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, China.
| |
Collapse
|
21
|
Jiang J, Wu D, Chen Y, Han Y, Jin W. Relationship between different air pollutants and total and cause-specific emergency ambulance dispatches in Shanghai, China. Int Arch Occup Environ Health 2021; 94:1709-1719. [PMID: 34319408 DOI: 10.1007/s00420-021-01743-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2020] [Accepted: 03/08/2021] [Indexed: 11/24/2022]
Abstract
OBJECTIVE Air pollutants play a crucial role in human health and disease. Emergency ambulance dispatch data have excellent potential for public and environmental health research. This study aimed at investigating the impact of short-term exposure to air pollutants on the emergency ambulance dispatches. METHODS We used data on emergency ambulance dispatches in Shanghai Municipality, China, from April 1, 2016 to December 31, 2017. The association of the daily emergency ambulance dispatches with air pollutants including PM2.5 (particles ≤ 2.5 μm in aerodynamic diameter), PM10, O3, NO2 and SO2 was analyzed with the use of time-series analyses. RESULTS A total of 310,825 emergency ambulance dispatches for acute illness occurred in Shanghai during the study period. An increase in PM2.5 by 10 μg/m3 at lag1 and lag2 was shown to increase the risk of emergency ambulance dispatches (RR for lag1 = 1.05, 95% CI 1.00-1.11, RR for lag2 = 1.07, 95% CI 1.01-1.12). PM10, NO2, and SO2 also showed significant associations with emergency ambulance dispatches in single-pollutant models. Cause-specific analyses showed an elevation in PM2.5 by 10 μg/m3 was associated with an increased risk of emergency ambulance dispatches related to respiratory diseases on the current day (lag0, RR 1.17, 95% CI 1.01-1.33), while the impact on emergency ambulance dispatches related to other diseases presented 1-3 days later. The other pollutants have the similar trend. CONCLUSIONS Our findings show a strong relationship between ambient air pollutants and emergency ambulance dispatches. Our study contributes to the growing body of evidence describing the adverse health effects of ambient air pollution and will benefit ambulance services for early warning and effective ambulatory planning.
Collapse
Affiliation(s)
- Jie Jiang
- Department of Emergency, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Ruijin Er Road, Shanghai, China
| | - Degen Wu
- Shanghai Medical Emergency Center, No. 638, Yishan Road, Shanghai, China
| | - Yanjia Chen
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Ruijin Er Road, Shanghai, China
| | - Yanxin Han
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Ruijin Er Road, Shanghai, China
| | - Wei Jin
- Department of Vascular and Cardiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, No.197, Ruijin Er Road, Shanghai, China.
| |
Collapse
|
22
|
Short-term exposure to air pollution and hospital admission for heart failure among older adults in metropolitan cities: a time-series study. Int Arch Occup Environ Health 2021; 94:1605-1615. [PMID: 34089350 DOI: 10.1007/s00420-021-01724-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2020] [Accepted: 02/26/2021] [Indexed: 10/21/2022]
Abstract
PURPOSE We aimed to investigate the association between air pollution concentration levels and hospital admissions for heart failure (HF) among older adults in metropolitan cities in South Korea. METHODS We used hospital admission data of 1.8 million older adults in seven metropolitan cities from 2008 to 2016, derived from the National Health Insurance Service of South Korea. Daily HF admission data were linked to air pollutants concentrations for the respective dates, including particulate matter less than 2.5 μm in size (PM2.5), 10 μm (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), carbon monoxide (CO), and ozone. We estimated the association between air pollutants and daily HF admissions using quasi-Poisson generalized additive models for each city. RESULTS During the study period, 142,490 hospital admissions for HF were noted. Increases of 10 μg/m3 of PM2.5 and PM10, and 10 ppb of SO2, NO2, and CO were associated with an increased risk of HF admission by 0.93% ([95% confidence intervals 0.51-1.36], 0.55% [0.31-0.80], 6.04% [2.15-10.08], 1.10% [0.38-1.82], and 0.05% [0.01-0.09]), respectively, on the same day. Increases in mean exposure to PM2.5, PM10, and SO2 for 8 days from the concurrent day were also significantly associated with HF admissions. During the warm season, the risk of HF admissions increased shortly after an increase in PM2.5, whereas prolonged effects were observed during the cold season. CONCLUSION Our study suggests the adverse effects of air pollution on HF. Moreover, the evidence of seasonality may help tailor protection guidelines for older adults.
Collapse
|
23
|
Li X, Cheng H, Fang Y, Chen Z, Qi G, Chen R, Kan H, Liu C, Cao J. Association between fine particulate matter and heart failure hospitalizations: a time-series analysis in Yancheng, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:26906-26912. [PMID: 33501575 DOI: 10.1007/s11356-021-12428-5] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2020] [Accepted: 01/07/2021] [Indexed: 06/12/2023]
Abstract
BACKGROUND Heart failure (HF) is a global public health problem of increasing importance. The association between acute exposure to air pollution and HF has been well established in developed countries, but little evidence is available in developing countries where air pollution levels are much higher. OBJECTIVES To explore the associations between PM2.5 and HF hospitalizations in Yancheng, China. METHODS In this time-series study, daily HF hospitalizations admitted in three major hospitals in Yancheng from May 1, 2015 to Apr 30, 2020 were collected. We used a generalized additive model with quasi-Poisson regression to investigate the association between PM2.5 and HF hospitalizations. The robustness of the associations was tested using two-pollutant models, and we examined the potential effect modification by age, gender, and season via stratification analyses. Lastly, we pooled the concentration-response curves. RESULTS A total of 10,466 HF hospitalizations were recorded, with a daily average of 6 cases. We observed the most robust estimates on lag 0 day, and the associated increment in HF was 1.28% (95% CI 0.45%, 2.11%) for a 10-μg/m3 increase of PM2.5. The association remained after adjustment of O3, but not for NO2, CO, and SO2. The PM2.5-HF associations were positive in females, patients aged ≥ 65 years, and in cold season. The C-R relationship curve was generally increasing below 30 μg/m3. CONCLUSION This study provided evidence on the association of PM2.5 with acute exacerbation of chronic heart failure, which may benefit future prevention strategy and policymaking.
Collapse
Affiliation(s)
- Xu Li
- Department of Cardiology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First Hospital of Yancheng, No. 166 Yulong West Road, Yancheng, 224006, China
| | - Hongyi Cheng
- Department of Cardiology, The First Affiliated Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Yan Fang
- Department of Cardiology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First Hospital of Yancheng, No. 166 Yulong West Road, Yancheng, 224006, China
| | - Zhichao Chen
- Department of Cardiology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First Hospital of Yancheng, No. 166 Yulong West Road, Yancheng, 224006, China
| | - Guangyu Qi
- Department of Hematology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First Hospital of Yancheng, Yancheng, 224006, China
| | - Renjie Chen
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, No.130 Dong-An Road, Shanghai, 200032, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, No.130 Dong-An Road, Shanghai, 200032, China
| | - Cong Liu
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education and NHC Key Laboratory of Health Technology Assessment, Fudan University, No.130 Dong-An Road, Shanghai, 200032, China.
| | - Jingyan Cao
- Department of Cardiology, Yancheng Hospital Affiliated to Xuzhou Medical University and the First Hospital of Yancheng, No. 166 Yulong West Road, Yancheng, 224006, China.
| |
Collapse
|
24
|
Air Pollution Increases the Incidence of Upper Respiratory Tract Symptoms among Polish Children. J Clin Med 2021; 10:jcm10102150. [PMID: 34065636 PMCID: PMC8156299 DOI: 10.3390/jcm10102150] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2021] [Revised: 05/10/2021] [Accepted: 05/13/2021] [Indexed: 11/18/2022] Open
Abstract
A substantial proportion of airway disease’s global burden is attributable to exposure to air pollution. This study aimed to investigate the association between air pollution, assessed as concentrations of particulate matter PM2.5 and PM10 on the upper respiratory tract symptoms (URTS) in children. A nation-wide, questionnaire-based study was conducted in Poland in winter 2018/2019 in a population of 1475 children, comparing URTS throughout the study period with publicly available data on airborne particulate matter. A general regression model was used to evaluate the lag effects between daily changes in PM10 and PM2.5 and the number of children reporting URTS and their severity. PM10 and PM2.5 in the single-pollutant models had significant effects on the number of children reporting URTS. The prevalence of URTS: “runny nose”, “sneezing” and “cough” was positively associated with 12-week mean PM2.5 and PM10 concentrations. In the locations with the highest average concentration of PM, the symptoms of runny nose, cough and sneezing were increased by 10%, 9% and 11%, respectively, compared to the cities with the lowest PM concentrations. This study showed that moderate-term exposure (12 week observation period) to air pollution was associated with an increased risk of URTS among children aged 3–12 years in Poland. These findings may influence public debate and future policy at the national and international levels to improve air quality in cities and improve children’s health.
Collapse
|
25
|
Zhou YM, An SJ, Tang EJ, Xu C, Cao Y, Liu XL, Yao CY, Xiao H, Zhang Q, Liu F, Li YF, Ji AL, Cai TJ. Association between short-term ambient air pollution exposure and depression outpatient visits in cold seasons: a time-series analysis in northwestern China. JOURNAL OF TOXICOLOGY AND ENVIRONMENTAL HEALTH. PART A 2021; 84:389-398. [PMID: 33622183 DOI: 10.1080/15287394.2021.1880507] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Depression is known to be one of the most common mental disorders raising global concerns. However, evidence regarding the association between short-term air pollution exposure and risk of development of depression is limited. The aim of this was to assess the relationship between short-term ambient air pollution exposure and depression in outpatient visits in Xi'an, a northwestern Chinese metropolis. Data for air pollutants including particulate matter (PM10), sulfur dioxide (SO2), and nitrogen dioxide (NO2) levels from October 1, 2010 to December 31, 2013 and number of daily depression outpatient visits (92,387 in total) were collected. A time-series quasi-Poisson regression model was adopted to determine the association between short-term air pollutant concentrations and frequency of outpatient visits for depression with different lag models. Consequently, 10 μg/m3 increase of SO2 and NO2 levels corresponded to significant elevation in number of outpatient-visits for depression on concurrent days (lag 0), and this relationship appeared stronger in cool seasons (October to March). However, the association of PM10 was only significant in males aged 30-50 at lag 0. Evidence indicated that short-term exposure to ambient air pollutants especially in cool seasons might be associated with increased risk of outpatient visits for depression.
Collapse
Affiliation(s)
- Yu-Meng Zhou
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Shu-Jie An
- Medical Department, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China
| | - En-Jie Tang
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chen Xu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
- Department of Hepatobiliary Surgery, Xijing Hospital, Air Force Medical University (Fourth Military Medical University), Xi'an, China
| | - Yi Cao
- Department of Health Economics Management, Xijing Hospital, Air Force Medical University, Xi'an, China
| | - Xiao-Ling Liu
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Chun-Yan Yao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Hua Xiao
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Qian Zhang
- Department of Preventive Medicine & Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, China
| | - Feng Liu
- Department of Preventive Medicine & Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, China
| | - Ya-Fei Li
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Ai-Ling Ji
- Department of Epidemiology, College of Preventive Medicine, Army Medical University (Third Military Medical University), Chongqing, China
| | - Tong-Jian Cai
- Department of Preventive Medicine & Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, China
| |
Collapse
|
26
|
Qi J, Chen Q, Ruan Z, Qian ZM, Yin P, Liu Y, Liu J, Wang C, Yang Y, McMillin SE, Vaughn MG, Wang L, Lin H. Improvement in life expectancy for ischemic heart diseases by achieving daily ambient PM 2.5 standards in China. ENVIRONMENTAL RESEARCH 2021; 193:110512. [PMID: 33242488 DOI: 10.1016/j.envres.2020.110512] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 11/18/2020] [Accepted: 11/18/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND The potential impacts of daily ambient fine particulate pollution (PM2.5) exposure on year of life lost (YLL) due to ischemic heart diseases (IHD) remain uncertain. We aimed to estimate the improvement in IHD-related life expectancy by attaining the daily air quality standards of ambient PM2.5 in China. METHODS AND RESULTS This study was based on daily mortality data covering 96 Chinese cities from 2013 to 2016. Regional- and national-associations between IHD-related YLLs and daily PM2.5 were estimated by generalized additive models. We further evaluated the IHD-related avoidable YLLs with an assumption that the daily PM2.5 was below the ambient air quality standards of World Health Organization (WHO) and China, and calculated the improvement of life expectancy by dividing the avoidable YLLs by the overall number of IHD mortality. We totally recorded 1,485,140 IHD deaths from 2013 to 2016. At the national level, we found a positive association between IHD-related YLLs and daily PM2.5. Per 10 μg/m3 increment of four-day averaged ambient PM2.5 related to an increase of 0.40 IHD-related YLLs (95% CI: 0.28, 0.51). By achieving the WHO's air quality guideline, we estimated that an averaged number of 1346.94 (95% CI: 932.61, 1761.27) YLLs can be avoided for the IHD deaths in each city. On average, the life expectancy can be improved by 0.15 years (95% CI: 0.11, 0.19) for each death. CONCLUSIONS Our study provides a nationwide picture of the life expectancy improvements by reaching the daily PM2.5 standards in China, indicating that people can live longer in an environment with higher air quality.
Collapse
Affiliation(s)
- Jinlei Qi
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Qian Chen
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China; Department of Cardiology, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, Guangdong, 510120, China
| | - Zengliang Ruan
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Zhengmin Min Qian
- Department of Epidemiology and Biostatistics, College for Public Health & Social Justice, Saint Louis University, Saint Louis, MO, 63104, USA
| | - Peng Yin
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Yunning Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Jiangmei Liu
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China
| | - Chongjian Wang
- Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, Zhengzhou, 450001, China
| | - Yin Yang
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China
| | - Stephen Edward McMillin
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63103, USA
| | - Michael G Vaughn
- School of Social Work, College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, 63103, USA
| | - Lijun Wang
- National Center for Chronic and Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 100050, China.
| | - Hualiang Lin
- Department of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, Guangdong, 510080, China.
| |
Collapse
|
27
|
Gao J, Wei Q, Pan R, Yi W, Xu Z, Duan J, Tang C, He Y, Liu X, Song S, Su H. Elevated environmental PM 2.5 increases risk of schizophrenia relapse: Mediation of inflammatory cytokines. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 753:142008. [PMID: 32892002 DOI: 10.1016/j.scitotenv.2020.142008] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/03/2020] [Revised: 08/13/2020] [Accepted: 08/25/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Ecological epidemiology suggests that hospital admissions for schizophrenia are associated with an increased environmental PM2.5, but no prospective study has verified this result, and the physiological mechanism is not clear. METHODS We used a repeated-measures design to prospectively assess the association of environmental PM2.5 and the risk of relapse in schizophrenia, and used two linear mixed-effects models to explore possible mediating effects of immune cytokines on the premise of controlling confounders. RESULTS We import the data using EpiData software, and collate and analyze of the data using R software. The increase of PM2.5 at lag0 had the greatest impact on the relapse of schizophrenia (for each 10 μg/m3 increase in PM2.5, the relapse risk score increased by 1.504, that is to say, odds ratio (OR) = 4.500 (95% confidence interval (CI): 2.849-7.106,P < 0.001)), and cumulative effects lasted for four days with the maximum at the second day (for each 10 μg/m3 increase in PM2.5, the relapse risk score increased by 1.301, OR = 3.673 (95%CI: 1.962-6.876,P < 0.001)). PM2.5 exposure was statistically related to four symptom dimensions of early signs scale (ESS), and the symptoms most affected by the increased PM2.5 were depression/withdrawal (ESSN) (OR = 1.990, 95%CI: 1.701-2.328), anxiety/agitation (ESS-A) (OR = 1.537, 95%CI: 1.340-1.763), initial psychosis (ESS-IP) (OR = 1.398, 95%CI: 1.151-1.697), and disinhibition (ESS-D) (OR = 1.235, 95%CI: 1.133-1.347). Furthermore, there are three statistically significant pathways in intermediary analysis: of PM2.5 and relapse risk: "PM2.5 → IL-17 → ESS", "PM2.5 → IL-17 → ESS-A", and "PM2.5 → IL-17 → ESS-N", and the intermediary ratio of IL-17 was 11.66%, 16.37% and 22.55%, respectively. CONCLUSIONS Increased environmental PM2.5 is a risk factor for the relapse of schizophrenia. Early relapse identification and intervention based on clinical characteristics are of great significance for timely termination of relapse and slowing down of relapse.
Collapse
Affiliation(s)
- Jiaojiao Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Qiannan Wei
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Rubing Pan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Weizhuo Yi
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Zihan Xu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Jun Duan
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Chao Tang
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Yangyang He
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Xiangguo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Shasha Song
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China
| | - Hong Su
- Department of Epidemiology and Health Statistics, School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Anhui Province Key Laboratory of Major Autoimmune Disease, China.
| |
Collapse
|
28
|
Li M, Tang J, Yang H, Zhao L, Liu Y, Xu H, Fan Y, Hong J, Long Z, Li X, Zhang J, Guo W, Liu M, Yang L, Lai X, Zhang X. Short-term exposure to ambient particulate matter and outpatient visits for respiratory diseases among children: A time-series study in five Chinese cities. CHEMOSPHERE 2021; 263:128214. [PMID: 33297172 DOI: 10.1016/j.chemosphere.2020.128214] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2020] [Revised: 08/25/2020] [Accepted: 08/29/2020] [Indexed: 06/12/2023]
Abstract
There was limited evidence regarding the association between short-term exposure to ambient particulate matter (PM) and respiratory outpatient visits among children at a multicity level. In this study, a time-series study was conducted among children aged 0-14 years in five Chinese cities from 2013 to 2018. City-specific effects of fine particles (PM2.5), inhalable particles (PM10) and coarse particles (PM10-2.5) were estimated for time lags of zero up to seven previous days using the overdispersed generalized additive models after adjusting for time trends, meteorological variables, day of the week and holidays. Meta-analyses were applied to pool the overall effects, while the exposure-response (E-R) curves were evaluated using a cubic regression spline. The overall effects of PM were significantly associated with total and cause-specific respiratory outpatients among children, even at PM2.5 and PM10 levels below the current Chinese Ambient Air Quality Standards (CAAQS) Grade II. Each 10 μg/m3 increment in PM2.5, PM10 and PM10-2.5 at lag 07 was associated with a 1.39% (95% CI: 0.38%, 2.40%), 1.10% (95% CI: 0.38%, 1.83%) and 2.93% (95% CI: 1.05%, 4.84%) increase in total respiratory outpatients, respectively. An E-R relationship was observed except for PM2.5 in Beijing and PM10 and PM10-2.5 in Shanghai. The effects of PM were stronger in cold season in 3 southern cities, while it was stronger in transition season in 2 northern cities. In conclusion, short-term PM exposures were dose-responsive associated with increased respiratory outpatient visits among children, even for PM2.5 and PM10 levels below current CAAQS II in certain cities.
Collapse
Affiliation(s)
- Meng Li
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Jie Tang
- Department of Preventive Medicine, School of Public Health, Guangzhou Medical University, Guangzhou, China
| | - Huihua Yang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Lei Zhao
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Ya Liu
- Department of Medical Record, Beijing Hospital, Beijing, China
| | - Haoli Xu
- Department of Healthcare, Guangdong Women and Children Hospital, Guangzhou, China
| | - Yali Fan
- Qinghai Provincial Women and Children's Hospital, Xining, China
| | - Jun Hong
- Qinghai Provincial Women and Children's Hospital, Xining, China
| | - Zhen Long
- Department of Pediatric respiratory Medicine, Maternal and Child Health Hospital of Hubei Province, Tongji Medical College, HUST, Wuhan, China
| | - Xiaojuan Li
- Department of Medical Record and Statistics, Emergency General Hospital, Beijing, China
| | - Jianduan Zhang
- Department of Woman and Child's Care and Adolescence Health, School of Public Health, Tongji Medical College, HUST, Wuhan, China
| | - Wenting Guo
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Miao Liu
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Liangle Yang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Xuefeng Lai
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China
| | - Xiaomin Zhang
- Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology (HUST), Wuhan, China.
| |
Collapse
|
29
|
Zhao X, Lu M, An Z, Li J, Li H, Zhao Q, Wu Z, Wu W, Liu Y, Song J. Acute effects of ambient air pollution on hospital outpatients with chronic pharyngitis in Xinxiang, China. INTERNATIONAL JOURNAL OF BIOMETEOROLOGY 2020; 64:1923-1931. [PMID: 32780156 DOI: 10.1007/s00484-020-01980-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Revised: 06/19/2020] [Accepted: 07/28/2020] [Indexed: 06/11/2023]
Abstract
We present results on a time-series study that analyzed the acute effects of six criteria air pollutants on hospital outpatient with chronic pharyngitis (CP) in Xinxiang, China. Data on the concentration of air pollutants and CP outpatient records were collected daily in Xinxiang, China, from January 1, 2015 to December 31, 2018. This study identified 62,823 outpatients with CP. The annual average concentrations of PM2.5, PM10, SO2, NO2, CO, and O3 are 75.7, 132.1, 33.2, 48.4, 1377, and 59.4 μg/m3, respectively. Further, a 10 μg/m3 increment in the concentration of PM10, SO2, NO2, and CO corresponds to an increase of 0.28% (95% confidence interval (CI): 0.03-0.53%), 1.10% (95% CI: 0.09-2.11%), 1.82% (95% CI: 0.84-2.80%), and 0.03% (95% CI: 0.01-0.06%) in daily CP hospital outpatients, respectively. Furthermore, results indicated that outpatients under the age of 15 are more susceptible to the air pollutants, excluding O3. Meanwhile, males might be more susceptible, and effect estimates appear slightly stronger in the cool season. Therefore, we should implement effective measures to manage air pollutants and reinforce protection of the high-risk population.
Collapse
Affiliation(s)
- Xiangmei Zhao
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Mengxue Lu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Zhen An
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Juan Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Huijun Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Qian Zhao
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Zhineng Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Weidong Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China
| | - Yue Liu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China.
| | - Jie Song
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, 453003, Henan Province, China.
| |
Collapse
|
30
|
Lu M, Ding S, Wang J, Liu Y, An Z, Li J, Jiang J, Wu W, Song J. Acute effect of ambient air pollution on hospital outpatient cases of chronic sinusitis in Xinxiang, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2020; 202:110923. [PMID: 32800210 DOI: 10.1016/j.ecoenv.2020.110923] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Revised: 06/04/2020] [Accepted: 06/17/2020] [Indexed: 06/11/2023]
Abstract
Many studies have reported that exposure to ambient air pollution has adverse effects on health. However, there are little researches to explore the relationship between ambient air pollution and chronic sinusitis (CS). From January 1 2015 to December 31 2018, a time-series study were carried out to investigate the acute adverse roles of six criteria ambient air pollutants (fine particulate matter [PM2.5], inhalable particulate matter [PM10], nitrogen dioxide [NO2], sulfur dioxide [SO2], ozone [O3], and carbon monoxide [CO]) in hospital outpatients with CS in Xinxiang, China. Then, an over-dispersed Poisson generalized additive model was utilized to analyzed the relationships. In total, 183,943 hospital outpatient cases of CS were identified during the study period. We found that a 10 μg/m3 increase in PM2.5, PM10, SO2, NO2, and CO corresponded to 0.48% (95% confidence interval: 0.22-0.74%), 0.33% (0.16-0.50%), 0.88% (0.13-1.62%), 1.98% (1.31-2.64%), and 0.05% (0.03-0.07%) increments, respectively, in CS outpatients on the current day. The young group (<15 years of age) was more susceptible than the adult or elderly groups. These results suggested that outdoor air pollutants might increase CS outpatient, especially among youth in Xinxiang. Precautions and protective measures should be strengthened to reduce the air pollution level in the future.
Collapse
Affiliation(s)
- Mengxue Lu
- Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Shuren Ding
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Jingyao Wang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Yue Liu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Zhen An
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Juan Li
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Jing Jiang
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Weidong Wu
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China
| | - Jie Song
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, School of Public Health, Xinxiang Medical University, Xinxiang, Henan Province, 453003, China.
| |
Collapse
|
31
|
Huschmann A, Rasche M, Schlattmann P, Witte OW, Schwab M, Schulze PC, Rakers F. A case-crossover study on the effect of short-term exposure to moderate levels of air pollution on the risk of heart failure. ESC Heart Fail 2020; 7:3851-3858. [PMID: 32924321 PMCID: PMC7754969 DOI: 10.1002/ehf2.12977] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 08/03/2020] [Accepted: 08/10/2020] [Indexed: 01/06/2023] Open
Abstract
Aims Exposure to high levels of air pollution in industrialized urban areas is associated with an increased risk of heart failure (HF). On most days, the majority of European cities are only moderately affected by air pollution. The aim of this study was to evaluate the association between short‐term exposure to moderate levels of air pollution with the risk of HF in a city with good air quality. Methods and results We recruited 576 patients (median age 82 years; 58.2% men) admitted to a large university hospital in Central Germany for HF to participate in a hospital‐based, bidirectional, case‐crossover study. Diagnosis of HF and symptom onset were verified individually. The effect of short‐term exposure to nitrogen dioxide (NO2), particulate matter (PM10), and ozone (O3) on the risk of HF was estimated using linear and non‐linear (categorized) multivariate analyses for three different lag times (1, 2, and 3 days before HF onset). Air pollution variables were adjusted to the date of HF symptom onset. During the study period, the average daily concentration of air pollutants was only moderate and reflects the average European background air pollution. In particular, the concentration of air pollutants ranged from 2 to 63.39 μg/m3 (median = 17.46 μg/m3) for NO2, from 2 to 125.88 μg/m3 (median = 44.61 μg/m3) for O3, and from 2.21 to 166.79 μg/m3 (median = 18.67 μg/m3) for PM10. We did not find a linear or non‐linear association between short‐term exposure to NO2, O3, or PM10 and risk for HF at all lag times in the overall population and subgroups. Conclusions In an area with only moderate air pollution, short‐term exposure to major air pollutants does not increase the risk for HF. Future studies should focus on a potential threshold effect of air pollution on HF risk as a basis for evidence‐based development of statutory limits in highly polluted areas.
Collapse
Affiliation(s)
- Ariane Huschmann
- Hans Berger Department of Neurology, Jena University Hospital, Jena, 07747, Germany
| | - Marius Rasche
- Department of Pediatrics, Jena University Hospital, Jena, 07747, Germany
| | - Peter Schlattmann
- Institute of Medical Statistics, Computer Sciences and Documentation, Jena University Hospital, Jena, 07747, Germany
| | - Otto W Witte
- Hans Berger Department of Neurology, Jena University Hospital, Jena, 07747, Germany
| | - Matthias Schwab
- Hans Berger Department of Neurology, Jena University Hospital, Jena, 07747, Germany
| | - P Christian Schulze
- Department of Internal Medicine I, Jena University Hospital, Jena, 07747, Germany
| | - Florian Rakers
- Hans Berger Department of Neurology, Jena University Hospital, Jena, 07747, Germany
| |
Collapse
|
32
|
Chen TT, Zhan ZY, Yu YM, Xu LJ, Guan Y, Ou CQ. Effects of hourly levels of ambient air pollution on ambulance emergency call-outs in Shenzhen, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2020; 27:24880-24888. [PMID: 32337675 DOI: 10.1007/s11356-020-08416-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2019] [Accepted: 03/12/2020] [Indexed: 06/11/2023]
Abstract
Some researches have shown the associations between air pollution and hospital-based emergency department visits, while the evidence about the acute effects of air pollution on emergency ambulance dispatches for the whole population is rarely available, especially on an hourly time scale. This paper aimed to investigate the effects of hourly concentrations of ambient air pollution on hourly number of ambulance emergency call-outs (AECOs) in Shenzhen, China. AECO data were collected from Shenzhen Emergency Center from January 2013 to December 2016. A time-stratified case-crossover design with conditional Poisson regression was performed to fit the relationship between hourly air pollution and AECOs. The distributed lag model was applied to determine lag structure of the effects of air pollutants. There were a total of 502,862 AECOs during the study period. The significant detrimental effects of SO2, PM2.5, and PM10 appeared immediately with a following harvesting effect after 5 h and the effects lasted for about 96 h. The cumulative effect estimates of four pollutants over 0-96 h were 13.99% (95% CI 7.52-20.85%), 2.07% (95% CI 0.72-3.43%), 1.20% (95% CI 0.54-1.87%), and 2.46% (95% CI 1.63-3.29%), respectively. We did not observe significant effects of O3. This population-based study quantifies the adverse effects of air pollution on ambulance dispatches and provides evidence of the lag structure of the effects on an hourly time scale.
Collapse
Affiliation(s)
- Ting-Ting Chen
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Zhi-Ying Zhan
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Yi-Min Yu
- Shenzhen Center for Prehospital Care, Shenzhen, China
- The People's Hospital of Longhua, Shenzhen, China
| | - Li-Jun Xu
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Ying Guan
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China
| | - Chun-Quan Ou
- Department of Biostatistics, State Key Laboratory of Organ Failure Research, Guangdong Provincial Key Laboratory of Tropical Disease Research, School of Public Health, Southern Medical University, Guangzhou, 510515, Guangdong, China.
| |
Collapse
|
33
|
Wang X, Tian J, Li Z, Lai J, Huang X, He Y, Ye Z, Li G. Relationship between different particle size fractions and all-cause and cause-specific emergency ambulance dispatches. Environ Health 2020; 19:69. [PMID: 32552755 PMCID: PMC7301562 DOI: 10.1186/s12940-020-00619-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 05/29/2020] [Indexed: 05/29/2023]
Abstract
BACKGROUND Evidence on the relationship between different particle size fractions and emergency ambulance dispatches (EAD) remains limited and sparse. METHODS We collected daily data of EAD, ambient air pollution and meteorological data from 2014 to 2018 in Guangzhou, China. We used a generalized additive model with covariate adjustments to estimate the associations between different particle size fractions and EAD related to all-cause, cardiovascular diseases, and respiratory diseases. Several subgroup and sensitivity analyses were also performed. RESULTS Significant associations were observed between PM2.5, PM2.5-10, PM10 and EADs. A 10 μg/m3 increase of PM2.5, PM2.5-10, and PM10 was associated with an increase of 0.98% (95% CI: 0.67, 1.28%), 2.06% (95% CI: 1.44, 2.68%), and 0.75% (95%CI: 0.53, 0.96%) in all-cause EAD, with an increase of 0.69% (95% CI: 0.00, 1.39%), 2.04% (95% CI: 0.64, 3.45%), and 0.60% (95%CI: 0.11,1.10%) in cardiovascular-related EAD, and an increase of 1.14% (95% CI: 0.25, 2.04%), 2.52% (95% CI: 0.72, 4.35%), and 0.89% (95%CI: 0.25,1.52%) in respiratory-related EAD at lag03, respectively. The results were robust in subgroup and sensitivity analyses. CONCLUSIONS This study revealed that PM2.5, PM2.5-10 and PM10 were significantly related with risks of all-cause and cause-specific EAD. More evidence of high quality may be needed to further support our results in this ecological study.
Collapse
Affiliation(s)
- Xiaojie Wang
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Junzhang Tian
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Ziyi Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Jun Lai
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Xin Huang
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Yongcong He
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou, China
| | - Zebing Ye
- Department of Cardiology, Guangdong Second Provincial General Hospital, Guangzhou, China.
| | - Guowei Li
- Center for Clinical Epidemiology and Methodology (CCEM), Guangdong Second Provincial General Hospital, Guangzhou, China.
- Department of Health research methods, Evidence, and Impact (HEI), McMaster University, 1280 Main St West, Hamilton, ON, L8S 4L8, Canada.
| |
Collapse
|
34
|
Ortega-Olvera JM, Mejía-García A, Islas-Flores H, Hernández-Navarro MD, Gómez-Oliván LM. Ecotoxicity of emerging halogenated flame retardants. EMERGING HALOGENATED FLAME RETARDANTS IN THE ENVIRONMENT 2020. [DOI: 10.1016/bs.coac.2019.11.004] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
|
35
|
Wong HT, Lin JJ. The effects of weather on daily emergency ambulance service demand in Taipei: a comparison with Hong Kong. THEORETICAL AND APPLIED CLIMATOLOGY 2020; 141:321-330. [PMID: 32421067 PMCID: PMC7223070 DOI: 10.1007/s00704-020-03213-4] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2019] [Accepted: 04/02/2020] [Indexed: 05/08/2023]
Abstract
Numerous studies have examined the effects of weather on emergency ambulance service (EAS) demand. Given Taipei's unique physical and social environments, empirical evidence collected from other regions may not be applicable. Collecting more information about the characteristics of vulnerable groups and the effects of weather could help the EAS managing authority in formulating cost-effective EAS policies. This study aims to look at the effects of weather on EAS demand in Taipei and to make a comparison with Hong Kong, which is also an Asian city and has a similar cultural context. The study analyzed over 370,000 EAS usage records from the Taipei City Fire Department. These records were aggregated into time series data according to patients' characteristics and then regressed on meteorological data via multivariate forward regression. The effect size differences of the variance explained by different groups of EAS users' regression models were compared. Afterward, the results of the regression analysis from Taipei were compared with those from a Hong Kong study. Elderly and critical patients in both cities showed significantly more sensitivity to weather than other patients. Further analysis showed that non-trauma cases were related to weather in Taipei. Although both cities had similar results, the Taipei study clearly showed that elderly and critical patients were more sensitive to weather than other patient subgroups. Health education programs should focus on the vulnerable groups identified in this study in order to increase their awareness and help them protect themselves before the onset of adverse weather conditions. By generating results that are directly applicable to Taipei, the formulation of inappropriate EAS policies can be prevented.
Collapse
Affiliation(s)
- Ho Ting Wong
- Institute of Health Care Management, Department of Business Management, National Sun Yat-sen University, 70 Lienhai Rd., Kaohsiung, 80424 Taiwan
| | - Jen-Jia Lin
- Department of Geography, National Taiwan University, Taipei City, Taiwan
| |
Collapse
|
36
|
Sangkharat K, Fisher P, Thomas GN, Thornes J, Pope FD. The impact of air pollutants on ambulance dispatches: A systematic review and meta-analysis of acute effects. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 254:112769. [PMID: 31419665 DOI: 10.1016/j.envpol.2019.06.065] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/23/2018] [Revised: 06/17/2019] [Accepted: 06/17/2019] [Indexed: 06/10/2023]
Abstract
A number of systematic reviews have investigated the association between air pollutants and health impacts, these mostly focus on morbidity and mortality from hospital data. Previously, no reviews focused solely on ambulance dispatch data. These data sets have excellent potential for environmental health research. For this review, publications up to April 2019 were identified using three main search categories covering: ambulance services including dispatches; air pollutants; and health outcomes. From 308 studies initially identified, 275 were excluded as they did not relate to ambulance service dispatches, did not report the air pollutant association, and/or did not study ambient air pollution. The main health outcomes in the remaining 33 studies were cardiac arrest (n = 14), cardiovascular (n = 11) and respiratory (n = 10) dispatches. Meta-analyses were performed to summarise pooled relative risk (RR) of pollutants: particulate matter less than 2.5 and 10 μm (PM2.5, PM10), the fraction between PM10 and PM2.5 (coarse) and suspended particulate matter (SPM) per 10 μg/m3 increase, carbon monoxide (CO) per 1 ppm increase and of sulphur dioxide (SO2), nitrogen dioxide (NO2), and ozone (O3) per 10 ppb increment and ambulance dispatches. Statistically significant associations were found for ambulance dispatch data for all-respiratory and PM2.5 at 1.03 (95% CI:1.02-1.04) and at 1.10 (95% CI:1.00-1.21) for asthma and NO2 associations. For dispatches with subsequent paramedic assessment for cardiac arrest with PM2.5, CO and coarse dispatches at 1.05 (95% CI:1.03-1.08), 1.10 (95% CI:1.02-1.18) and 1.04 (95% CI:1.01-1.06) respectively. For dispatches with subsequent physician diagnosis for all-respiratory and PM2.5 at 1.02 (95% CI:1.01-1.03). In conclusion, air pollution was significantly associated with an increase in ambulance dispatch data, including those for cardiac arrest, all-respiratory, and asthma dispatches. Ambulance services should plan accordingly during pollution events. Furthermore, efforts to improve air quality should lead to decreases in ambulance dispatches.
Collapse
Affiliation(s)
- Kamolrat Sangkharat
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK
| | - Paul Fisher
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - G Neil Thomas
- Institute of Applied Health Research, University of Birmingham, Birmingham, UK
| | - John Thornes
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK; Chemicals and Environmental Effects, Public Health England, Oxfordshire, UK
| | - Francis D Pope
- School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham, UK.
| |
Collapse
|
37
|
Al-Alam J, Chbani A, Faljoun Z, Millet M. The use of vegetation, bees, and snails as important tools for the biomonitoring of atmospheric pollution-a review. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2019; 26:9391-9408. [PMID: 30715709 DOI: 10.1007/s11356-019-04388-8] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2018] [Accepted: 01/25/2019] [Indexed: 05/13/2023]
Abstract
The continuous discharge of diverse chemical products in the environment is nowadays of great concern to the whole world as some of them persist in the environment leading to serious diseases. Several sampling techniques have been used for the characterization of this chemical pollution, although biomonitoring using natural samplers has recently become the technique of choice in this field due to its efficiency, specificity, and low cost. In fact, several living organisms known as biomonitors could accumulate the well-known persistent environmental pollutants allowing their monitoring in the environment. In this work, a review on environmental biomonitoring is presented. The main sampling techniques used for monitoring environmental pollutants are first reported, followed by an overview on well-known natural species used as passive samplers and known as biomonitors. These species include conifer needles, lichen, mosses, bees and their byproducts, and snails, and were widely used in recent research as reliable monitors for environmental pollution.
Collapse
Affiliation(s)
- Josephine Al-Alam
- Azm Center for Research in Biotechnology and its Applications, Doctoral School of Science and Technology, Lebanese University, El Mittein Street, Tripoli, Lebanon
- Institute of Chemistry and Processes for Energy, Environment and Health ICPEES UMR 7515 Group of Physical Chemistry of the Atmosphere, University of Strasbourg, Strasbourg, France
| | - Asma Chbani
- Azm Center for Research in Biotechnology and its Applications, Doctoral School of Science and Technology, Lebanese University, El Mittein Street, Tripoli, Lebanon
- Faculty of Public Health III, Lebanese University, Tripoli, Lebanon
| | - Ziad Faljoun
- Azm Center for Research in Biotechnology and its Applications, Doctoral School of Science and Technology, Lebanese University, El Mittein Street, Tripoli, Lebanon
- Faculty of Sciences III, Lebanese University, Tripoli, Lebanon
| | - Maurice Millet
- Institute of Chemistry and Processes for Energy, Environment and Health ICPEES UMR 7515 Group of Physical Chemistry of the Atmosphere, University of Strasbourg, Strasbourg, France.
| |
Collapse
|
38
|
Guo HB, Li M, Lyu Y, Cheng TT, Xv JJ, Li X. Size-resolved particle oxidative potential in the office, laboratory, and home: Evidence for the importance of water-soluble transition metals. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 246:704-709. [PMID: 30623827 DOI: 10.1016/j.envpol.2018.12.094] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 12/06/2018] [Accepted: 12/29/2018] [Indexed: 06/09/2023]
Abstract
Particulate matter (PM) oxidative potential (OP) is an emerging health metric, but studies examining the OP of indoor PM are rare. This paper focuses on the relationships between respiratory exposure to OP and PM water-soluble composition in indoor environments. Size-resolved PM samples were collected between November 2015 and June 2016 from an office, home (including bedroom, living room, and storeroom), and laboratory using a MOUDI sampler. Particles from each source were segregated into eleven size bins, and the water-soluble metal content and dithiothreitol (DTT) loss rate were measured in each PM extract. The water-soluble OP (OPws) of indoor PM was highest in the office and lowest in the home, varying by factors of up to 1.2; these variations were attributed to differences in occupation density, occupant activity, and ventilation. In addition, the particulate Cu, Mn, and Fe concentrations were closely correlated with OPws in indoor particles; the transition metals may have acted as catalysts during oxidation processes, inducing ·OH formation through the concomitant consumption of DTT. The OPws particle size distributions featured single modes with peaks between 0.18 and 3.2 μm across all indoor sites, reflecting the dominant contribution of PM3.2 to total PM levels and the enhanced oxidative activity of the PM3.2 compared to PM>3.2. Lung-deposition model calculations indicated that PM3.2 dominated the pulmonary deposition of the OPws (>75%) due to both the high levels of metals content and the high deposition efficiency in the alveolar region. Therefore, because OPws has been directly linked to various health effects, special attention should be given to PM3.2.
Collapse
Affiliation(s)
- Hui-Bin Guo
- Department of Environmental Science & Engineering, Fudan University, Shanghai, 200438, PR China
| | - Mei Li
- Institute of Mass Spectrometer and Atmospheric Environment, Jinan University, Guangzhou, 510632, China; Guangdong Provincial Engineering Research Center for on-line Source Apportionment System of Air Pollution, Guangzhou, 510632, China.
| | - Yan Lyu
- Department of Environmental Science & Engineering, Fudan University, Shanghai, 200438, PR China
| | - Tian-Tao Cheng
- Department of Environmental Science & Engineering, Fudan University, Shanghai, 200438, PR China
| | - Jun-Jun Xv
- Agilent Technologies (China) Co.,Ltd, Shanghai, 200080, China
| | - Xiang Li
- Department of Environmental Science & Engineering, Fudan University, Shanghai, 200438, PR China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai, 200092, PR China.
| |
Collapse
|
39
|
Liang Z, Xu C, Cao Y, Kan HD, Chen RJ, Yao CY, Liu XL, Xiang Y, Wu N, Wu L, Li YF, Ji AL, Cai TJ. The association between short-term ambient air pollution and daily outpatient visits for schizophrenia: A hospital-based study. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2019; 244:102-108. [PMID: 30326384 DOI: 10.1016/j.envpol.2018.09.142] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/14/2018] [Revised: 09/15/2018] [Accepted: 09/28/2018] [Indexed: 06/08/2023]
Abstract
Schizophrenia is a devastating neuropsychiatric disorder with increasing concern. Limited studies have been conducted to assess the relationship between short-term exposure to ambient air pollution and schizophrenia attacks. This study aimed to investigate the associations between short-term air pollution exposure and schizophrenia outpatient visits based on a time-series study performed in China. Daily data of schizophrenia outpatient admissions and air pollution from 1 October 2010 to 31 December 2013 were collected in Xi'an, a heavily-polluted city in China. We utilized a time-series Poisson regression model to examine the associations between short-term air pollution and schizophrenia outpatient visits with different lag days. A total of 34,865 outpatient-visits for schizophrenia were identified. A 10 μg/m3 increase of PM10, SO2, and NO2 concentrations corresponded to 0.289% (95% Cl: 0.118%, 0.460%), 1.374% (95% Cl: 0.723%, 2.025%), and 1.881% (95% Cl: 0.957%, 2.805%) elevation in outpatient-visits for schizophrenia at lag 0, and the associations appeared to be stronger, although not statistically significantly, in females and in middle and older age adults (40 and over). The most significant associations were observed on the concurrent day in different lag models. In conclusion, short-term exposure to ambient air pollution (PM10, SO2, and NO2) can be associated with increased risk of daily outpatient visits for schizophrenia, which may contribute to the further understanding of the potential adverse effects of air pollution in schizophrenia and other neuropsychiatric disorders.
Collapse
Affiliation(s)
- Zhen Liang
- Department of Epidemiology and Center for Clinical Epidemiology & Evidence-Based Medicine, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China; Department of Obstetrics and Gynecology, Southwest Hospital, Third Military Medical University (Army Medical University), Chongqing, China
| | - Chen Xu
- Department of Epidemiology and Center for Clinical Epidemiology & Evidence-Based Medicine, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China; Troop No. 94498 of PLA, Nanyang, China
| | - Yi Cao
- Digital Center, Xijing Hospital, Fourth Military Medical University (Air Force Military Medical University), Xi'an, China
| | - Hai-Dong Kan
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Ren-Jie Chen
- Department of Environmental Health, School of Public Health, Fudan University, Shanghai, China
| | - Chun-Yan Yao
- Department of Epidemiology and Center for Clinical Epidemiology & Evidence-Based Medicine, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China
| | - Xiao-Ling Liu
- Department of Epidemiology and Center for Clinical Epidemiology & Evidence-Based Medicine, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China
| | - Ying Xiang
- Department of Epidemiology and Center for Clinical Epidemiology & Evidence-Based Medicine, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China
| | - Na Wu
- Department of Epidemiology and Center for Clinical Epidemiology & Evidence-Based Medicine, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China
| | - Long Wu
- Department of Epidemiology and Center for Clinical Epidemiology & Evidence-Based Medicine, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China
| | - Ya-Fei Li
- Department of Epidemiology and Center for Clinical Epidemiology & Evidence-Based Medicine, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China
| | - Ai-Ling Ji
- Department of Preventive Medicine & Chongqing Engineering Research Center of Pharmaceutical Sciences, Chongqing Medical and Pharmaceutical College, Chongqing, China
| | - Tong-Jian Cai
- Department of Epidemiology and Center for Clinical Epidemiology & Evidence-Based Medicine, College of Preventive Medicine, Third Military Medical University (Army Medical University), Chongqing, China.
| |
Collapse
|
40
|
Zheng PW, Shen P, Ye ZH, Zhang ZY, Chai PF, Li D, Jin MJ, Tang ML, Lu HC, Lin HB, Wang JB, Chen K. Acute effect of fine and coarse particular matter on cardiovascular visits in Ningbo, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:33548-33555. [PMID: 30269277 DOI: 10.1007/s11356-018-3286-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2018] [Accepted: 09/18/2018] [Indexed: 06/08/2023]
Abstract
Although a growing number of epidemiological studies have been conducted on size-specific health effects of particulate matter in China, results remain inconsistent. In this study, we investigated acute effect of fine and coarse particular matter on cardiovascular hospital visits in Ningbo, China. We used generalized additive models to examine short-term effects of PM2.5 and PM10-2.5 on cardiovascular hospital visits by adjustment for temporal, seasonal, and meteorological effects. Subgroup analyses were conducted by age, sex, and season. We also examined the stability of their effects in multi-pollutant models. We found that PM2.5 were associated with cardiovascular hospital visits (RR = 1.006; 95% CI 1.000, 1.011) and results remained similar after adjustment for PM10-2.5 (RR = 1.005; 95% CI 0.998, 1.013). There was a borderline association between PM10-2.5 and cardiovascular hospital visits (RR = 1.007; 95% CI 0.997, 1.016), which disappeared after controlling for PM2.5 (RR = 1.000; 95% CI 0.988, 1.013). The associations appeared to be stronger in the cold season and among the elderly (≥ 75 years). The findings of this study suggested significant adverse effects of PM2.5, but no independent effects of PM10-2.5 on cardiovascular hospital visits. Additional studies are needed to confirm these findings.
Collapse
Affiliation(s)
- Pei-Wen Zheng
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, Zhejiang, China
| | - Peng Shen
- Center for Disease Control and Prevention of Yinzhou District, Ningbo, Zhejiang, 315100, China
| | - Zhen-Hua Ye
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, Zhejiang, China
| | - Zhen-Yu Zhang
- John Hopkins School of Public Health, Baltimore, MD, 21218, USA
| | - Peng-Fei Chai
- Center for Disease Control and Prevention of Yinzhou District, Ningbo, Zhejiang, 315100, China
| | - Die Li
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, Zhejiang, China
| | - Ming-Juan Jin
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, Zhejiang, China
| | - Meng-Ling Tang
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, Zhejiang, China
| | - Huai-Chu Lu
- Center for Disease Control and Prevention of Yinzhou District, Ningbo, Zhejiang, 315100, China
| | - Hong-Bo Lin
- Center for Disease Control and Prevention of Yinzhou District, Ningbo, Zhejiang, 315100, China
| | - Jian-Bing Wang
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, Zhejiang, China.
- Research Center for Air Pollution and Health, Zhejiang University, Zhejiang, 310058, Hangzhou, China.
| | - Kun Chen
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, 310058, Zhejiang, China.
- Research Center for Air Pollution and Health, Zhejiang University, Zhejiang, 310058, Hangzhou, China.
| |
Collapse
|
41
|
Association Between PM 2.5 and Daily Hospital Admissions for Heart Failure: A Time-Series Analysis in Beijing. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2018; 15:ijerph15102217. [PMID: 30314262 PMCID: PMC6211014 DOI: 10.3390/ijerph15102217] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/10/2018] [Revised: 09/29/2018] [Accepted: 10/07/2018] [Indexed: 11/17/2022]
Abstract
There is little evidence that acute exposure to fine particulate matter (PM2.5) impacts the rate of hospitalization for congestive heart failure (CHF) in developing countries. The primary purpose of the present retrospective study was to evaluate the short-term association between ambient PM2.5 and hospitalization for CHF in Beijing, China. A total of 15,256 hospital admissions for CHF from January 2010 to June 2012 were identified from Beijing Medical Claim Data for Employees and a time-series design with generalized additive Poisson model was used to assess the obtained data. We found a clear significant exposure response association between PM2.5 and the number of hospitalizations for CHF. Increasing PM2.5 daily concentrations by 10 μg/m³ caused a 0.35% (95% CI, 0.06⁻0.64%) increase in the number of CHF admissions on the same day. We also found that female and older patients were more susceptible to PM2.5. These associations remained significant in sensitivity analyses involving changing the degrees of freedom of calendar time, temperature, and relative humidity. PM2.5 was associated with significantly increased risk of hospitalization for CHF in this citywide study. These findings may contribute to the limited scientific evidence about the acute impacts of PM2.5 on CHF in China.
Collapse
|
42
|
Song J, Liu Y, Zheng L, Gui L, Zhao X, Xu D, Wu W. Acute effects of air pollution on type II diabetes mellitus hospitalization in Shijiazhuang, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:30151-30159. [PMID: 30151787 DOI: 10.1007/s11356-018-3016-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/05/2018] [Accepted: 08/20/2018] [Indexed: 05/23/2023]
Abstract
UNLABELLED Air pollution has been considered as an important contributor to diabetes development. However, the evidence is fewer in developing countries where air pollution concentrations were much higher. In this study, we conduct a time-series study to investigate the acute adverse effect of six air pollutants on type II diabetes mellitus (T2DM) hospitalization in Shijiazhuang, China. An over-dispersed passion generalized addictive model adjusted for weather conditions, day of the week, and long-term and seasonal trends was used. Finally, a 10-μg/m3 increase of fine particulate matter (PM2.5), inhalable particulate matter (PM10), sulfur dioxide (SO2), nitrogen dioxide (NO2), and carbon monoxide (CO) corresponded to 0.53% (95% confidence interval = 0.22-0.83), 0.32% (95% CI = 0.10-0.55), 0.55% (95% CI = 0.04-1.07), 1.27% (95% CI = 0.33-2.22), and 0.04% (95% CI = 0.02-0.06) increment of T2DM hospitalization, respectively. The effects of PM2.5, PM10, and CO were robust when adjusted for co-pollutants. The associations appeared to be a little stronger in the cool season than in the warm season. And stronger associations were found in male and elderly (≥ 65 years) than in female and younger people (35-65 years). Our results contribute to the limited data in the scientific literature on acute effects of air pollution on type II diabetes mellitus in developing countries. MAIN FINDINGS This is the first adverse effect evidence of air pollution on T2DM in Shijiazhuang, a severely polluted city in China. Males were more vulnerable than females in severe pollution.
Collapse
Affiliation(s)
- Jie Song
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China.
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, Xinxiang, 453003, China.
| | - Yue Liu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Liheng Zheng
- Hebei Chest Hospital, Shijiazhuang, 050041, China
| | - Lihui Gui
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Xiangmei Zhao
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Dongqun Xu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
- Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, Xinxiang, 453003, China
| |
Collapse
|
43
|
Song J, Zheng L, Lu M, Gui L, Xu D, Wu W, Liu Y. Acute effects of ambient particulate matter pollution on hospital admissions for mental and behavioral disorders: A time-series study in Shijiazhuang, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2018; 636:205-211. [PMID: 29704715 DOI: 10.1016/j.scitotenv.2018.04.187] [Citation(s) in RCA: 52] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/04/2018] [Revised: 04/01/2018] [Accepted: 04/13/2018] [Indexed: 05/23/2023]
Abstract
Until now, few epidemiological studies have focused on the association between ambient particulate matter pollution and mental and behavioral disorders, especially in developing countries. Thus, a time-series study on the short-term association between both fine and inhalable particles (PM2.5 and PM10) and daily hospital admissions for mental and behavioral disorders in Shijiazhuang, China was conducted, from 2014 to 2016. An over-dispersed, generalized additive model was used to analyze the associations after controlling for time trend, weather conditions, day of the week, and holidays. In addition, the modification effects of age, sex, and season were estimated. A total of 9156 cases of hospital admissions for mental and behavioral disorders were identified. A 10 μg/m3 increase in a 3-day average concentration (lag02) of PM2.5 and PM10 correspond to an increase of 0.48% (95% confidence interval (CI): 0.18-0.79%) and 0.32% (95% CI: 0.03-0.62%) in daily hospital admission for mental and behavioral disorders, respectively. We found stronger associations of PM2.5 and PM10 with mental and behavioral disorders in male and elder individuals (≥45 years) than in female and younger individuals (<45 years). Further, results indicated a generally stronger association of PM2.5 with mental and behavioral disorders in the cool season than in the warm season. This research found a significant association between ambient PM2.5 and PM10 and hospital admission for mental and behavioral disorders in Shijiazhuang, China.
Collapse
Affiliation(s)
- Jie Song
- School of Public Health, Xinxiang Medical University, Xinxiang 453003, China; Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, Xinxiang 453003, China
| | - Liheng Zheng
- Hebei Chest Hospital, Shijiazhuang 050041, China
| | - Mengxue Lu
- Xinxiang Medical University, Xinxiang 453003, China
| | - Lihui Gui
- School of Public Health, Xinxiang Medical University, Xinxiang 453003, China
| | - Dongqun Xu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang 453003, China; Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, Xinxiang 453003, China
| | - Yue Liu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing 100021, China.
| |
Collapse
|
44
|
Song J, Lu M, Zheng L, Liu Y, Xu P, Li Y, Xu D, Wu W. Acute effects of ambient air pollution on outpatient children with respiratory diseases in Shijiazhuang, China. BMC Pulm Med 2018; 18:150. [PMID: 30189886 PMCID: PMC6127994 DOI: 10.1186/s12890-018-0716-3] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2018] [Accepted: 08/28/2018] [Indexed: 01/21/2023] Open
Abstract
Background Associations between ambient air pollution and child health outcomes have been well documented in developed countries such as the United States; however, only a limited number of studies have been conducted in developing countries. This study aimed to explore the acute effects of five ambient air pollutants (inhalable particles [PM10], fine particles [PM2.5], sulfur dioxide [SO2], nitrogen dioxide [NO2] and 0zone [O3]) on children hospital outpatients with respiratory diseases in Shijiazhuang, China. Methods Three years (2013–2015) of daily data, including cause-specific respiratory outpatient records and the concentrations of five air pollutants, were collected to examine the short-term association between air pollution and children’s respiratory diseases; using a quasi-Poisson regression generalized additive model. Stratified analyses by season and age were also performed. Results From 2013 to 2015, a total of 551,678 hospital outpatient records for children with respiratory diseases were collected in Shijiazhuang, China. A 10 μg/m3 increase in a two-day average concentration (lag01) of NO2, PM2.5, and SO2 corresponded to an increase of 0.66% (95% confidence interval [CI]: 0.30–1.03%), 0.13% (95% CI: 0.02–0.24%), and 0.33% (95% CI: 0.10–0.56%) in daily hospital outpatient visits for children with respiratory diseases, respectively. The effects were stronger in the transition season (April, May, September and October) than in other seasons (the hot season [June to August] and the cool season [November to March]). Furthermore, results indicated a generally stronger association in older (7–14 years of age) than younger children (< 7 years of age). Conclusions This research found a significant association between ambient NO2, PM2.5, and SO2 levels and hospital outpatient visits in child with respiratory diseases in Shijiazhuang, China.
Collapse
Affiliation(s)
- Jie Song
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China. .,Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, Xinxiang, 453003, China.
| | - Mengxue Lu
- Xinxiang Medical University, Xinxiang, 453003, China
| | - Liheng Zheng
- Hebei Chest Hospital, Shijiazhuang, 050041, China
| | - Yue Liu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Pengwei Xu
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Yuchun Li
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China
| | - Dongqun Xu
- National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, 100021, China
| | - Weidong Wu
- School of Public Health, Xinxiang Medical University, Xinxiang, 453003, China.,Henan International Collaborative Laboratory for Health Effects and Intervention of Air Pollution, Xinxiang, 453003, China
| |
Collapse
|
45
|
Lin H, Tao J, Kan H, Qian Z, Chen A, Du Y, Liu T, Zhang Y, Qi Y, Ye J, Li S, Li W, Xiao J, Zeng W, Li X, Stamatakis KA, Chen X, Ma W. Ambient particulate matter air pollution associated with acute respiratory distress syndrome in Guangzhou, China. JOURNAL OF EXPOSURE SCIENCE & ENVIRONMENTAL EPIDEMIOLOGY 2018; 28:392-399. [PMID: 29706622 DOI: 10.1038/s41370-018-0034-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2016] [Revised: 10/27/2016] [Accepted: 11/22/2016] [Indexed: 05/19/2023]
Abstract
Limited evidence exists concerning the impact of particulate pollution on acute respiratory distress syndrome (ARDS). We examined the effects of particulate pollution on emergency ambulance dispatches (EAD) for ARDS in Guangzhou, China. Daily air pollution concentrations for PM10, PM2.5, and PM1, as well as PM2.5 chemical compositions, were available from a central air monitoring station. The association between incident ARDS and air pollution on the concurrent and previous 5 days was estimated by an over-dispersed Poisson generalized additive model controlling for meteorological factors, temporal trends, public holidays and day of the week. We identified a total of 17,002 EADs for ARDS during the study period. There were significant associations between concentrations of PM10, PM2.5, PM1, and ARDS; corresponding excess risk (ER) for an interquartile range IQR increase in 1-day lagged concentration was 5.45% [95% confidence interval (CI): 1.70%, 9.33%] for PM10 (45.4 μg/m3), 4.71% (95% CI: 1.09%, 8.46%) for PM2.5 (31.5 μg/m3), and 4.45% (95% CI: 0.81%, 8.23%) for PM1 (28.8 μg/m3), respectively. For PM2.5 chemical compositions, we found that OC, EC, sulfate and ammonium were significantly associated with ARDS. The observed effects remained even after adjusting for potentially confounding factors. This study suggests that PM10, PM2.5, and PM1, as well as chemical constituents from combustion and secondary aerosols might be important triggers of ARDS in Guangzhou.
Collapse
Affiliation(s)
- Hualiang Lin
- Department of Medical Statistics and Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China
| | - Jun Tao
- South China Institute of Environmental Sciences, Ministry of Environmental Protection, Guangzhou, China
| | - Haidong Kan
- School of Public Health, Key Lab of Public Health Safety of the Ministry of Education, & Key Lab of Health Technology Assessment of the Ministry of Health, Fudan University, Shanghai, 200032, China
| | - Zhengmin Qian
- College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, USA
| | - Ailan Chen
- Department of Cardiology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China
| | - Yaodong Du
- Guangdong Provincial Weather Center, Guangzhou, China
| | - Tao Liu
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yonghui Zhang
- Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Yongqing Qi
- Guangzhou First Aid Medical Service Control Center, Guangzhou, China
| | - Jianjun Ye
- Guangzhou First Aid Medical Service Control Center, Guangzhou, China
| | - Shuangming Li
- Guangzhou First Aid Medical Service Control Center, Guangzhou, China
| | - Wanglin Li
- Department of Gastrointestinal Surgery, Affiliated Guangzhou First Municipal People's Hospital Guangzhou Medical University, Guangzhou, 510180, China
| | - Jianpeng Xiao
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Weilin Zeng
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Xing Li
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China
| | - Katherine A Stamatakis
- College for Public Health and Social Justice, Saint Louis University, Saint Louis, MO, USA
| | - Xinyu Chen
- Key Laboratory of Immunology, Sino-French Hoffmann Institute, School of Basic Medical Sciences; Guangdong Provincial Key Laboratory of Allergy & Clinical Immunology, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, 511436, China.
| | - Wenjun Ma
- Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou, China.
| |
Collapse
|
46
|
Effect of Ambient Air Pollution on Hospitalization for Heart Failure in 26 of China's Largest Cities. Am J Cardiol 2018; 121:628-633. [PMID: 29304993 DOI: 10.1016/j.amjcard.2017.11.039] [Citation(s) in RCA: 50] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/16/2017] [Revised: 11/17/2017] [Accepted: 11/21/2017] [Indexed: 11/20/2022]
Abstract
There is growing interest in the association between ambient air pollution and congestive heart failure (CHF), but research data from developing countries are very limited. The primary aim of this study was to examine the association between short-term exposure to air pollution and hospital admission for CHF in China. A time-stratified case-crossover study was conducted between 2014 and 2015 in 26 large Chinese cities among 105,501 CHF hospitalizations. Conditional logistic regression models were applied to estimate the percentage changes in CHF admissions in relation to per interquartile range increases in air pollutant concentrations. Air pollution was positively associated with CHF hospitalizations. An interquartile range increase in fine particulate, particulate matter less than 10 µm in aerodynamic diameter, sulfur dioxide, nitrogen dioxide, carbon monoxide, and ozone concentrations on the current day corresponded to 1.2% (95% confidence interval [CI] 0.5%, 1.8%), 1.3% (95% CI 0.5%, 2.0%), 1.0% (95% CI 0.2%, 1.7%), 1.6% (95% CI 0.6%, 2.5%), 1.2% (95% CI 0.5%, 1.9%), and 0.4% (95% CI -0.9%, 1.7%) increases in CHF admissions, respectively. In conclusion, our findings contribute to the limited scientific literature concerning the effects of air pollution on CHF risk for high-exposure settings typical in developing countries, which may have significant public health implications for prevention of CHF in China.
Collapse
|
47
|
Zheng PW, Wang JB, Zhang ZY, Shen P, Chai PF, Li D, Jin MJ, Tang ML, Lu HC, Lin HB, Chen K. Air pollution and hospital visits for acute upper and lower respiratory infections among children in Ningbo, China: A time-series analysis. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2017; 24:18860-18869. [PMID: 28653196 DOI: 10.1007/s11356-017-9279-8] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2016] [Accepted: 05/17/2017] [Indexed: 06/07/2023]
Abstract
Acute upper and lower respiratory infections are main causes of mortality and morbidity in children. Air pollution has been recognized as an important contributor to development and exacerbation of respiratory infections. However, few studies are available in China. In this study, we investigated the short-term effect of air pollution on hospital visits for acute upper and lower respiratory infections among children under 15 years in Ningbo, China. Poisson generalized models were used to estimate the associations between air pollution and hospital visits for acute upper and lower respiratory infections adjusted for temporal, seasonal, and meteorological effects. We found that four pollutants (PM2.5, PM10, NO2, and SO2) were significantly associated with hospital visits for acute upper and lower respiratory infections. The effect estimates for acute upper respiratory infections tended to be higher (PM2.5 ER = 3.46, 95% CI 2.18, 4.76; PM10 ER = 2.81, 95% CI 1.93, 3.69; NO2 ER = 11.27, 95% CI 8.70, 13.89; SO2 ER = 15.17, 95% CI 11.29, 19.19). Significant associations for gaseous pollutants (NO2 and SO2) were observed after adjustment for particular matter. Stronger associations were observed among older children and in the cold period. Our study suggested that short-term exposure to outdoor air pollution was associated with hospital visits for acute upper and lower respiratory infections in Ningbo.
Collapse
Affiliation(s)
- Pei-Wen Zheng
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang, 310058, China
| | - Jian-Bing Wang
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang, 310058, China
- Research Center for Air Pollution and Health, Zhejiang University, Hangzhou, Zhejiang, 310058, China
| | - Zhen-Yu Zhang
- John Hopkins School of Public Health, Baltimore, MD, 21218, USA
| | - Peng Shen
- Center for Disease Control and Prevention of Yinzhou District, 1221 Xueshi Road, Ningbo, Zhejiang, 315100, China
| | - Peng-Fei Chai
- Center for Disease Control and Prevention of Yinzhou District, 1221 Xueshi Road, Ningbo, Zhejiang, 315100, China
| | - Die Li
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang, 310058, China
| | - Ming-Juan Jin
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang, 310058, China
| | - Meng-Ling Tang
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang, 310058, China
| | - Huai-Chu Lu
- Center for Disease Control and Prevention of Yinzhou District, 1221 Xueshi Road, Ningbo, Zhejiang, 315100, China
| | - Hong-Bo Lin
- Center for Disease Control and Prevention of Yinzhou District, 1221 Xueshi Road, Ningbo, Zhejiang, 315100, China.
| | - Kun Chen
- Department of Epidemiology and Health Statistics, Zhejiang University School of Public Health, C217 Academic Building, 866 Yuhangtang Road, Xihu District, Hangzhou, Zhejiang, 310058, China.
- Research Center for Air Pollution and Health, Zhejiang University, Hangzhou, Zhejiang, 310058, China.
| |
Collapse
|
48
|
Zhu L, Ge X, Chen Y, Zeng X, Pan W, Zhang X, Ben S, Yuan Q, Xin J, Shao W, Ge Y, Wu D, Han Z, Zhang Z, Chu H, Wang M. Short-term effects of ambient air pollution and childhood lower respiratory diseases. Sci Rep 2017; 7:4414. [PMID: 28667279 PMCID: PMC5493680 DOI: 10.1038/s41598-017-04310-7] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 05/12/2017] [Indexed: 12/18/2022] Open
Abstract
The association between air pollution and childhood respiratory disease is inconsistent. In the present study, we investigated a short-term effect of ambient air pollutants and daily childhood lower respiratory diseases (CLRD). Daily air pollutants, weather data, and CLRD data were collected from January 2014 to April 2015 (452 days) in Nanjing, China. Time-series regression and generalized additive models were used to assess the effects of air pollutants (PM10, PM2.5, NO2, SO2, O3, and CO) on CLRD. We observed that an interquartile range (IQR) increase in concentrations of PM10, NO2, and SO2 significantly increased the daily CLRD with 6 days cumulative effects (difference of estimates: 2.8%, 95% CI: 0.6–5.0%; 4.1%, 1.2–7.0%; 5.6%, 2.6–8.6%, respectively). However, no significant association was found in IQR concentrations of PM2.5, O3, and CO. Specifically, elevated PM10, PM2.5, NO2, and SO2 significantly increased the numbers of CLRD in cool season (3.6%, 1.5–5.7%; 2.4%, 0.3–4.5%; 4.9%, 2.9–7.0%; 6.3%, 3.7–9.0%, respectively). Additionally, the effect estimates of PM10, NO2, and SO2 in female and age >27 months were more pronounced than in male and age ≤27 months. This study suggested that short-term exposure to ambient PM10, NO2, and SO2 were associated with the increased CLRD numbers.
Collapse
Affiliation(s)
- Liyang Zhu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.,Department of Statistics, School of Economics, Nanjing University Of Finance & Economics, Nanjing, China
| | - Xuhua Ge
- Department of Emergency, Children's Hospital of Nanjing Medical University, Nanjing, China
| | - Yaoyao Chen
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Xinying Zeng
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Wang Pan
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Xu Zhang
- Department of Genetic Toxicology, The Key Laboratory of Modern Toxicology of Ministry of Education, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Shuai Ben
- School of Public Health, Nantong University, Nantong, Jiangsu, China
| | - Qi Yuan
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Junyi Xin
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Wei Shao
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Yuqiu Ge
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Dongmei Wu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China
| | - Zhong Han
- Department of Statistics, School of Economics, Nanjing University Of Finance & Economics, Nanjing, China
| | - Zhengdong Zhang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
| | - Haiyan Chu
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
| | - Meilin Wang
- Department of Environmental Genomics, Jiangsu Key Laboratory of Cancer Biomarkers, Prevention and Treatment, Collaborative Innovation Center for Cancer Personalized Medicine, Nanjing Medical University, Nanjing, China.
| |
Collapse
|
49
|
Ke CL, Gu YG, Liu Q. Polycyclic Aromatic Hydrocarbons (PAHs) in Exposed-Lawn Soils from 28 Urban Parks in the Megacity Guangzhou: Occurrence, Sources, and Human Health Implications. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2017; 72:496-504. [PMID: 28361187 DOI: 10.1007/s00244-017-0397-6] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/09/2016] [Accepted: 03/23/2017] [Indexed: 06/07/2023]
Abstract
Polycyclic aromatic hydrocarbons (PAHs) in urban soils may pose a serious threat to human health via oral ingestion, dermal absorption, and particulate inhalation, especially in public parks and playgrounds, with children and senior citizens showing the highest susceptibility. Several studies have been undertaken identifying PAHs in urban soils, but no studies to date have assessed PAHs in urban parks, in particular in exposed-lawn soils. In recent decades, unprecedented rates of urbanization and industrialization in China have resulted in significant levels of urban environmental pollution. However, concentrations, sources, and the health risk associated with PAH exposure via urban park lawn soils in China remain unknown. The concentrations, sources, and health risk of exposure to 16 PAHs in surface-exposed lawn soils were studied in 28 urban parks in Guangzhou. Concentrations of Σ16PAHs ranged from 76.44 to 890.85 ng/g with a mean of 286.11 ng/g. PAH composition was mostly characterized by 2- and 4-ring PAHs in most sampling parks; Nap, Flua, Pyr, Phe, and Chr were the dominant constituents. Principle component analysis coupled with multivariate linear regression indicated that vehicular and coal combustion emissions contributed to 50.53 and 49.46% of PAHs in Guangzhou's urban park soils, respectively. Total cancer risk (TCR) analysis found that 22 parks (accounting for 78.57% total parks) designed for children's use and general-use park areas presented a potentially high risk (>1 × 10-4) for all users.
Collapse
Affiliation(s)
- Chang-Liang Ke
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, China
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou, 510300, China
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture, Guangzhou, 510300, China
| | - Yang-Guang Gu
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, China.
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou, 510300, China.
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture, Guangzhou, 510300, China.
| | - Qi Liu
- South China Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Guangzhou, 510300, China
- Guangdong Provincial Key Laboratory of Fishery Ecology and Environment, Guangzhou, 510300, China
- Key Laboratory of South China Sea Fishery Resources Exploitation and Utilization, Ministry of Agriculture, Guangzhou, 510300, China
| |
Collapse
|
50
|
Spatiotemporal Patterns of Ozone and Cardiovascular and Respiratory Disease Mortalities Due to Ozone in Shenzhen. SUSTAINABILITY 2017. [DOI: 10.3390/su9040559] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
|